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Advanced Data Mining and Applications [[electronic resource] ] : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang
| Advanced Data Mining and Applications [[electronic resource] ] : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 538 p. 163 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Information storage and retrieval Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-642-53917-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustering -- Semi-Supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization -- A Scalable Approach for General Correlation Clustering -- A fast spectral clustering method based on growing vector quantization for large data sets -- A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms -- Software Clustering using Automated Feature Subset Selection -- The Use of Transfer Algorithm for Clustering Categorical Data -- eDARA: Ensembles DARA -- Efficient mining maximal variant and low usage rate biclusters without candidate maintenance in real function-resource matrix: the DeCluster algorithm -- Association Rule Mining -- MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining -- Pattern Mining -- Mining Frequent Patterns in Print Logs with Semantically Alternative Labels -- Minimising K-Dominating Set in Arbitrary Network Graphs -- Regression -- Logistic Regression Bias Correction for Large Scale Data with Rare Events -- An Automatical Moderating System for FML using Hashing Regression -- Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model -- Prediction -- Deep Architecture for Traffic Flow Prediction -- Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction -- Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias -- Protein Interaction Hot Spots Prediction using LS-SVM within the Bayesian Interpretation -- Predicting the survival status of cancer patients with Traditional Chinese Medicine Symptom Variation using Logistic Regression Model -- Feature Extraction -- Exploiting Multiple Features for Learning to Rank in Expert Finding -- Convolution Neural Network for Relation Extraction -- Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis -- kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set -- Identification -- Traffic Session Identification based on Statistical Language Model -- Role Identification Based on the Information Dependency Complexity -- Detecting Professional Spam Reviewers -- Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics -- Privacy Preservation -- Utility Enhancement for Privacy Preserving Health Data Publishing -- Optimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks -- Applications -- Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-based Scoring Functions -- Bichromatic Reverse Ranking Query in Two Dimensions -- Passive Aggressive Algorithm for Online Portfolio Selection with Piecewise Loss Function -- Mining Item Popularity for Recommender Systems -- Exploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon -- A Pre-initialization Stage of Population-based Bio-inspired Metaheuristics for Handling Expensive Optimization Problems -- A Hybrid-sorting Semantic Matching Method -- Improving Few Occurrence Feature Performance in Distant Supervision for Relation Extraction -- Cluster Labeling Extraction and Ranking Feature Selection for High Quality XML Pseudo Relevance Feedback Fragments Set -- Informed Weighted Random Projection for Dimension Reduction -- Protocol Specification Inference Based on Keywords Identification -- An Adaptive Collaborative Filtering Algorithm Based on Multiple Features -- Machine Learning -- Ensemble of Unsupervised and Supervised Models with Different Label Spaces -- Cost-sensitive Extreme Learning Machine -- Multi-objective Optimization for Overlapping Community Detection -- Endmember Extraction by Exemplar Finder -- EEG-Based User Authentication in Multilevel Security Systems -- A new fuzzy extreme learning machine for regression problems with outliers or noises. |
| Record Nr. | UNISA-996465594003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications [[electronic resource] ] : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang
| Advanced Data Mining and Applications [[electronic resource] ] : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 588 p. 217 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Information storage and retrieval Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-642-53914-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Opinion Mining -- Mining E-Commerce Feedback Comments for Dimension Rating Profiles -- Generating Domain-Specific Sentiment Lexicons for Opinion Mining -- Effective Comment Sentence Recognition for Feature-based Opinion Mining -- Exploiting Co-occurrence Opinion Words for Semi-supervised Sentiment Classification -- Behavior Mining -- HN-Sim: A Structural Similarity Measure over Object-Behavior Networks -- Community Based User Behavior Analysis on Daily Mobile Internet Usage -- Stream Mining -- Tracking Drift Types in Changing Data Streams -- Continuously Extracting High-quality Representative Set from Massive Data Streams -- Change Itemset Mining in Data Streams -- Sequential Data Mining -- TKS: Efficient Mining of Top-K Sequential Patterns -- When Optimization is Just an Illusion -- Accurate and fast dynamic time warping -- Online Detecting Spreading Events with the Spatio-temporal Relationship in Water Distribution Networks -- MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns -- Mining Maximal Sequential Patterns without Candidate Maintenance -- Web Mining -- Improved Slope One Collaborative Filtering Predictor Using Fuzzy Clustering -- Towards Building Virtual Vocabularies in the Semantic Web -- Web Mining Accelerated with In-Memory and Column Store Technology -- Image Mining -- Constructing a novel pos-neg manifold for global-based image classification -- 3-D MRI Brain Scan Feature Classification Using an Oct-tree Representation -- Biometric Template Protection Based on Biometric Certificate and Fuzzy Fingerprint Vault -- A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery -- Mixed-Norm Regression for Visual Classification -- Research on Map Matching Based on Hidden Markov Model -- Text Mining -- A Rule-Based Named-Entity Recognition for Malay Articles -- Small is Powerful! Towards a Refinedly Enriched Ontology by Careful Pruning and Trimming -- Refine the Corpora Based on Document Manifold -- Social Network Mining -- Online Friends Recommendation based on Geographic Trajectories and Social Relations -- The Spontaneous Behavior in Extreme Events: A Clustering-based Quantitative Analysis -- Restoring: A Greedy Heuristic Approach Based on Neighborhood for Correlation Clustering -- A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks -- Tree-based Mining for Discovering Patterns of Reposting Behavior in Microblog -- An Improved Parallel Hybrid Seed Expansion (PHSE) Method for Detecting Highly Overlapping Communities in Social Networks -- A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging -- An Energy Model for Network Community Structure Detection -- A Label Propagation-based Algorithm for Community Discovery in Online Social Networks -- Mining Twitter Data for Potential Drug Effects -- Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging -- Classification -- Graph based Feature Augmentation for Short and Sparse Text Classification -- Exploring Deep Belief Nets to Detect and Categorize Chinese Entities -- Extracting Novel Features for E-commerce Page Quality Classification -- Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification -- Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming -- Automatic Labeling of Forums using Bloom's Taxonomy -- Classifying Papers from Different Computer Science Conferences -- Vertex Unique Labelled Subgraph Mining for Vertex Label Classification -- A Similarity-Based Grouping Method for Molecular Docking in Distributed System -- A Bag-of-Tones Model with MFCC Features for Musical Genre Classification -- The GEPSO-Classification Algorithm. |
| Record Nr. | UNISA-996465592503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang
| Advanced Data Mining and Applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 538 p. 163 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Information storage and retrieval Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-642-53917-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustering -- Semi-Supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization -- A Scalable Approach for General Correlation Clustering -- A fast spectral clustering method based on growing vector quantization for large data sets -- A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms -- Software Clustering using Automated Feature Subset Selection -- The Use of Transfer Algorithm for Clustering Categorical Data -- eDARA: Ensembles DARA -- Efficient mining maximal variant and low usage rate biclusters without candidate maintenance in real function-resource matrix: the DeCluster algorithm -- Association Rule Mining -- MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining -- Pattern Mining -- Mining Frequent Patterns in Print Logs with Semantically Alternative Labels -- Minimising K-Dominating Set in Arbitrary Network Graphs -- Regression -- Logistic Regression Bias Correction for Large Scale Data with Rare Events -- An Automatical Moderating System for FML using Hashing Regression -- Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model -- Prediction -- Deep Architecture for Traffic Flow Prediction -- Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction -- Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias -- Protein Interaction Hot Spots Prediction using LS-SVM within the Bayesian Interpretation -- Predicting the survival status of cancer patients with Traditional Chinese Medicine Symptom Variation using Logistic Regression Model -- Feature Extraction -- Exploiting Multiple Features for Learning to Rank in Expert Finding -- Convolution Neural Network for Relation Extraction -- Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis -- kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set -- Identification -- Traffic Session Identification based on Statistical Language Model -- Role Identification Based on the Information Dependency Complexity -- Detecting Professional Spam Reviewers -- Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics -- Privacy Preservation -- Utility Enhancement for Privacy Preserving Health Data Publishing -- Optimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks -- Applications -- Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-based Scoring Functions -- Bichromatic Reverse Ranking Query in Two Dimensions -- Passive Aggressive Algorithm for Online Portfolio Selection with Piecewise Loss Function -- Mining Item Popularity for Recommender Systems -- Exploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon -- A Pre-initialization Stage of Population-based Bio-inspired Metaheuristics for Handling Expensive Optimization Problems -- A Hybrid-sorting Semantic Matching Method -- Improving Few Occurrence Feature Performance in Distant Supervision for Relation Extraction -- Cluster Labeling Extraction and Ranking Feature Selection for High Quality XML Pseudo Relevance Feedback Fragments Set -- Informed Weighted Random Projection for Dimension Reduction -- Protocol Specification Inference Based on Keywords Identification -- An Adaptive Collaborative Filtering Algorithm Based on Multiple Features -- Machine Learning -- Ensemble of Unsupervised and Supervised Models with Different Label Spaces -- Cost-sensitive Extreme Learning Machine -- Multi-objective Optimization for Overlapping Community Detection -- Endmember Extraction by Exemplar Finder -- EEG-Based User Authentication in Multilevel Security Systems -- A new fuzzy extreme learning machine for regression problems with outliers or noises. |
| Record Nr. | UNINA-9910484245103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Data Mining and Applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang
| Advanced Data Mining and Applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I / / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 588 p. 217 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Information storage and retrieval Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-642-53914-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Opinion Mining -- Mining E-Commerce Feedback Comments for Dimension Rating Profiles -- Generating Domain-Specific Sentiment Lexicons for Opinion Mining -- Effective Comment Sentence Recognition for Feature-based Opinion Mining -- Exploiting Co-occurrence Opinion Words for Semi-supervised Sentiment Classification -- Behavior Mining -- HN-Sim: A Structural Similarity Measure over Object-Behavior Networks -- Community Based User Behavior Analysis on Daily Mobile Internet Usage -- Stream Mining -- Tracking Drift Types in Changing Data Streams -- Continuously Extracting High-quality Representative Set from Massive Data Streams -- Change Itemset Mining in Data Streams -- Sequential Data Mining -- TKS: Efficient Mining of Top-K Sequential Patterns -- When Optimization is Just an Illusion -- Accurate and fast dynamic time warping -- Online Detecting Spreading Events with the Spatio-temporal Relationship in Water Distribution Networks -- MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns -- Mining Maximal Sequential Patterns without Candidate Maintenance -- Web Mining -- Improved Slope One Collaborative Filtering Predictor Using Fuzzy Clustering -- Towards Building Virtual Vocabularies in the Semantic Web -- Web Mining Accelerated with In-Memory and Column Store Technology -- Image Mining -- Constructing a novel pos-neg manifold for global-based image classification -- 3-D MRI Brain Scan Feature Classification Using an Oct-tree Representation -- Biometric Template Protection Based on Biometric Certificate and Fuzzy Fingerprint Vault -- A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery -- Mixed-Norm Regression for Visual Classification -- Research on Map Matching Based on Hidden Markov Model -- Text Mining -- A Rule-Based Named-Entity Recognition for Malay Articles -- Small is Powerful! Towards a Refinedly Enriched Ontology by Careful Pruning and Trimming -- Refine the Corpora Based on Document Manifold -- Social Network Mining -- Online Friends Recommendation based on Geographic Trajectories and Social Relations -- The Spontaneous Behavior in Extreme Events: A Clustering-based Quantitative Analysis -- Restoring: A Greedy Heuristic Approach Based on Neighborhood for Correlation Clustering -- A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks -- Tree-based Mining for Discovering Patterns of Reposting Behavior in Microblog -- An Improved Parallel Hybrid Seed Expansion (PHSE) Method for Detecting Highly Overlapping Communities in Social Networks -- A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging -- An Energy Model for Network Community Structure Detection -- A Label Propagation-based Algorithm for Community Discovery in Online Social Networks -- Mining Twitter Data for Potential Drug Effects -- Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging -- Classification -- Graph based Feature Augmentation for Short and Sparse Text Classification -- Exploring Deep Belief Nets to Detect and Categorize Chinese Entities -- Extracting Novel Features for E-commerce Page Quality Classification -- Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification -- Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming -- Automatic Labeling of Forums using Bloom's Taxonomy -- Classifying Papers from Different Computer Science Conferences -- Vertex Unique Labelled Subgraph Mining for Vertex Label Classification -- A Similarity-Based Grouping Method for Molecular Docking in Distributed System -- A Bag-of-Tones Model with MFCC Features for Musical Genre Classification -- The GEPSO-Classification Algorithm. |
| Record Nr. | UNINA-9910484245003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Data Mining and Applications [[electronic resource] ] : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II / / edited by Longbing Cao, Yong Feng, Jiang Zhong
| Advanced Data Mining and Applications [[electronic resource] ] : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II / / edited by Longbing Cao, Yong Feng, Jiang Zhong |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XIII, 576 p. 198 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Database management Data mining Computer communication systems Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery Computer Communication Networks |
| ISBN |
1-280-39048-4
9786613568403 3-642-17313-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | III Data Mining Methodologies and Processes -- Incremental Learning by Heterogeneous Bagging Ensemble -- CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform -- A General Multi-relational Classification Approach Using Feature Generation and Selection -- A Unified Approach to the Extraction of Rules from Artificial Neural Networks and Support Vector Machines -- A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets -- Change a Sequence into a Fuzzy Number -- Multiple Kernel Learning Improved by MMD -- A Refinement Approach to Handling Model Misfit in Semi-supervised Learning -- Soft Set Approach for Selecting Decision Attribute in Data Clustering -- Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study -- Adapt the mRMR Criterion for Unsupervised Feature Selection -- Evaluating the Distance between Two Uncertain Categorical Objects -- Construction Cosine Radial Basic Function Neural Networks Based on Artificial Immune Networks -- Spatial Filter Selection with LASSO for EEG Classification -- Boolean Algebra and Compression Technique for Association Rule Mining -- Cluster Based Symbolic Representation and Feature Selection for Text Classification -- SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity -- Logistic Regression for Transductive Transfer Learning from Multiple Sources -- Double Table Switch: An Efficient Partitioning Algorithm for Bottom-Up Computation of Data Cubes -- IV Data Mining Applications and Systems -- Tag Recommendation Based on Bayesian Principle -- Comparison of Different Methods to Fuse Theos Images -- Using Genetic K-Means Algorithm for PCA Regression Data in Customer Churn Prediction -- Time-Constrained Test Selection for Regression Testing -- Chinese New Word Detection from Query Logs -- Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization -- Topic-Based User Segmentation for Online Advertising with Latent Dirichlet Allocation -- Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition -- Real-Time Hand Detection and Tracking Using LBP Features -- Modeling DNS Activities Based on Probabilistic Latent Semantic Analysis -- A New Statistical Approach to DNS Traffic Anomaly Detection -- Managing Power Conservation in Wireless Networks -- Using PCA to Predict Customer Churn in Telecommunication Dataset -- Hierarchical Classification with Dynamic-Threshold SVM Ensemble for Gene Function Prediction -- Personalized Tag Recommendation Based on User Preference and Content -- Predicting Defect Priority Based on Neural Networks -- Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering -- Hybrid Semantic Analysis System – ATIS Data Evaluation -- Click Prediction for Product Search on C2C Web Sites -- Finding Potential Research Collaborators in Four Degrees of Separation -- Predicting Product Duration for Adaptive Advertisement -- An Algorithm for Available Bandwidth Estimation of IPv6 Network -- A Structure-Based XML Storage Method in YAFFS File System -- A Multi-dimensional Trustworthy Behavior Monitoring Method Based on Discriminant Locality Preserving Projections -- NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment -- Two-Fold Spatiotemporal Regression Modeling in Wireless Sensor Networks -- Generating Tags for Service Reviews -- Developing Treatment Plan Support in Outpatient Health Care Delivery with Decision Trees Technique -- Factor Analysis of E-business in Skill-Based Strategic Collaboration -- Increasing the Meaningful Use of Electronic Medical Records: A Localized Health Level 7 Clinical Document Architecture System -- Corpus-Based Analysis of the Co-occurrence of Chinese Antonym Pairs -- Application of Decision-Tree Based on Prediction Model for Project Management -- Management Policies Analysis for Multi-core Shared Caches -- Multi-core Architecture Cache Performance Analysis and Optimization Based on Distributed Method -- The Research on the User Experience of E-Commercial Website Based on User Subdivision -- An Ontology-Based Framework Model for Trustworthy Software Evolution -- Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval -- A Distributed Node Clustering Mechanism in P2P Networks -- Exploratory Factor Analysis Approach for Understanding Consumer Behavior toward Using Chongqing City Card. |
| Record Nr. | UNISA-996465689003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications [[electronic resource] ] : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I / / edited by Longbing Cao, Yong Feng, Jiang Zhong
| Advanced Data Mining and Applications [[electronic resource] ] : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I / / edited by Longbing Cao, Yong Feng, Jiang Zhong |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XIII, 628 p. 221 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer communication systems Application software Information storage and retrieval Database management Data mining Artificial Intelligence Computer Communication Networks Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery |
| ISBN |
1-280-39049-2
9786613568410 3-642-17316-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining Foundations -- Cost Sensitive Classification in Data Mining -- Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory -- Discriminative Markov Logic Network Structure Learning Based on Propositionalization and ? 2-Test -- EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining -- Best Clustering Configuration Metrics: Towards Multiagent Based Clustering -- On Probabilistic Models for Uncertain Sequential Pattern Mining -- Cube Based Summaries of Large Association Rule Sets -- A Perceptron-Like Linear Supervised Algorithm for Text Classification -- Research on Time Series Forecasting Model Based on Moore Automata -- A Clustering Algorithm FCM-ACO for Supplier Base Management -- Nearest Neighbour Distance Matrix Classification -- Classification Inductive Rule Learning with Negated Features -- Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces -- DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining -- An Improved Rough Clustering Using Discernibility Based Initial Seed Computation -- Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling -- Topic-Constrained Hierarchical Clustering for Document Datasets -- Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach -- MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN -- An Efficient Algorithm for Mining Erasable Itemsets -- Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series -- Deep Web Sources Classifier Based on DSOM-EACO Clustering Model -- Kernel Based K-Medoids for Clustering Data with Uncertainty -- Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery -- Spatial Neighborhood Clustering Based on Data Field -- Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier -- A Centroid k-Nearest Neighbor Method -- Mining Spatial Association Rules with Multi-relational Approach -- An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm -- A Novel Clustering Algorithm Based on Gravity and Cluster Merging -- Data Mining in Specific Areas -- Evolution Analysis of a Mobile Social Network -- Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks -- Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution -- Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data -- Frequent Pattern Trend Analysis in Social Networks -- Efficient Privacy-Preserving Data Mining in Malicious Model -- Analyze the Wild Birds’ Migration Tracks by MPI-Based Parallel Clustering Algorithm -- Formal Concept Analysis Based Clustering for Blog Network Visualization -- Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach -- Weigted-FP-Tree Based XML Query Pattern Mining -- Privacy-Preserving Data Mining in Presence of Covert Adversaries -- Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs -- Combating Link Spam by Noisy Link Analysis -- High Dimensional Image Categorization -- Efficiently Mining Co-Location Rules on Interval Data -- Multiple Attribute Frequent Mining-Based for Dengue Outbreak -- A Top-Down Approach for Hierarchical Cluster Exploration by Visualization -- Distributed Frequent Items Detection on Uncertain Data -- Mining Uncertain Sentences with Multiple Instance Learning -- WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data -- TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support -- Research on Similarity Matching for Multiple Granularities Time-Series Data -- A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks -- Investigating Sequential Patterns of DNS Usage and Its Applications -- Key Issues and Theoretical Framework on Moving Objects Data Mining -- An Improved KNN Based Outlier Detection Algorithm for Large Datasets -- Some Developments of Determinacy Analysis -- A New Computational Framework for Gene Expression Clustering -- Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree -- Inspired Rule-Based User Identification. |
| Record Nr. | UNISA-996465690603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced data mining and applications [[electronic resource] ] : 4th international conference, ADMA 2010, Chengdu, China, November 19-21, 2010 : proceedings . Part I / / Longbing Cao, Yong Feng, Jiang Zhong (eds.)
| Advanced data mining and applications [[electronic resource] ] : 4th international conference, ADMA 2010, Chengdu, China, November 19-21, 2010 : proceedings . Part I / / Longbing Cao, Yong Feng, Jiang Zhong (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XIII, 628 p. 221 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CaoLongbing
FengYong ZhongJiang |
| Collana | Lecture notes in artificial intelligence, subseries of Lecture notes in computer science |
| Soggetto topico |
Data mining
Computer algorithms |
| ISBN |
1-280-39049-2
9786613568410 3-642-17316-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining Foundations -- Cost Sensitive Classification in Data Mining -- Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory -- Discriminative Markov Logic Network Structure Learning Based on Propositionalization and ? 2-Test -- EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining -- Best Clustering Configuration Metrics: Towards Multiagent Based Clustering -- On Probabilistic Models for Uncertain Sequential Pattern Mining -- Cube Based Summaries of Large Association Rule Sets -- A Perceptron-Like Linear Supervised Algorithm for Text Classification -- Research on Time Series Forecasting Model Based on Moore Automata -- A Clustering Algorithm FCM-ACO for Supplier Base Management -- Nearest Neighbour Distance Matrix Classification -- Classification Inductive Rule Learning with Negated Features -- Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces -- DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining -- An Improved Rough Clustering Using Discernibility Based Initial Seed Computation -- Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling -- Topic-Constrained Hierarchical Clustering for Document Datasets -- Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach -- MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN -- An Efficient Algorithm for Mining Erasable Itemsets -- Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series -- Deep Web Sources Classifier Based on DSOM-EACO Clustering Model -- Kernel Based K-Medoids for Clustering Data with Uncertainty -- Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery -- Spatial Neighborhood Clustering Based on Data Field -- Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier -- A Centroid k-Nearest Neighbor Method -- Mining Spatial Association Rules with Multi-relational Approach -- An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm -- A Novel Clustering Algorithm Based on Gravity and Cluster Merging -- Data Mining in Specific Areas -- Evolution Analysis of a Mobile Social Network -- Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks -- Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution -- Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data -- Frequent Pattern Trend Analysis in Social Networks -- Efficient Privacy-Preserving Data Mining in Malicious Model -- Analyze the Wild Birds’ Migration Tracks by MPI-Based Parallel Clustering Algorithm -- Formal Concept Analysis Based Clustering for Blog Network Visualization -- Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach -- Weigted-FP-Tree Based XML Query Pattern Mining -- Privacy-Preserving Data Mining in Presence of Covert Adversaries -- Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs -- Combating Link Spam by Noisy Link Analysis -- High Dimensional Image Categorization -- Efficiently Mining Co-Location Rules on Interval Data -- Multiple Attribute Frequent Mining-Based for Dengue Outbreak -- A Top-Down Approach for Hierarchical Cluster Exploration by Visualization -- Distributed Frequent Items Detection on Uncertain Data -- Mining Uncertain Sentences with Multiple Instance Learning -- WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data -- TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support -- Research on Similarity Matching for Multiple Granularities Time-Series Data -- A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks -- Investigating Sequential Patterns of DNS Usage and Its Applications -- Key Issues and Theoretical Framework on Moving Objects Data Mining -- An Improved KNN Based Outlier Detection Algorithm for Large Datasets -- Some Developments of Determinacy Analysis -- A New Computational Framework for Gene Expression Clustering -- Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree -- Inspired Rule-Based User Identification. |
| Altri titoli varianti | ADMA 2010 |
| Record Nr. | UNINA-9910485140803321 |
| Berlin ; ; New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced data mining and applications : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II / / Longbing Cao, Jiang Zhong, Yong Feng (eds.)
| Advanced data mining and applications : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II / / Longbing Cao, Jiang Zhong, Yong Feng (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XIII, 576 p. 198 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
FengYong
ZhongJiang CaoLongbing |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Data mining
Computer algorithms |
| ISBN |
1-280-39048-4
9786613568403 3-642-17313-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | III Data Mining Methodologies and Processes -- Incremental Learning by Heterogeneous Bagging Ensemble -- CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform -- A General Multi-relational Classification Approach Using Feature Generation and Selection -- A Unified Approach to the Extraction of Rules from Artificial Neural Networks and Support Vector Machines -- A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets -- Change a Sequence into a Fuzzy Number -- Multiple Kernel Learning Improved by MMD -- A Refinement Approach to Handling Model Misfit in Semi-supervised Learning -- Soft Set Approach for Selecting Decision Attribute in Data Clustering -- Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study -- Adapt the mRMR Criterion for Unsupervised Feature Selection -- Evaluating the Distance between Two Uncertain Categorical Objects -- Construction Cosine Radial Basic Function Neural Networks Based on Artificial Immune Networks -- Spatial Filter Selection with LASSO for EEG Classification -- Boolean Algebra and Compression Technique for Association Rule Mining -- Cluster Based Symbolic Representation and Feature Selection for Text Classification -- SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity -- Logistic Regression for Transductive Transfer Learning from Multiple Sources -- Double Table Switch: An Efficient Partitioning Algorithm for Bottom-Up Computation of Data Cubes -- IV Data Mining Applications and Systems -- Tag Recommendation Based on Bayesian Principle -- Comparison of Different Methods to Fuse Theos Images -- Using Genetic K-Means Algorithm for PCA Regression Data in Customer Churn Prediction -- Time-Constrained Test Selection for Regression Testing -- Chinese New Word Detection from Query Logs -- Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization -- Topic-Based User Segmentation for Online Advertising with Latent Dirichlet Allocation -- Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition -- Real-Time Hand Detection and Tracking Using LBP Features -- Modeling DNS Activities Based on Probabilistic Latent Semantic Analysis -- A New Statistical Approach to DNS Traffic Anomaly Detection -- Managing Power Conservation in Wireless Networks -- Using PCA to Predict Customer Churn in Telecommunication Dataset -- Hierarchical Classification with Dynamic-Threshold SVM Ensemble for Gene Function Prediction -- Personalized Tag Recommendation Based on User Preference and Content -- Predicting Defect Priority Based on Neural Networks -- Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering -- Hybrid Semantic Analysis System – ATIS Data Evaluation -- Click Prediction for Product Search on C2C Web Sites -- Finding Potential Research Collaborators in Four Degrees of Separation -- Predicting Product Duration for Adaptive Advertisement -- An Algorithm for Available Bandwidth Estimation of IPv6 Network -- A Structure-Based XML Storage Method in YAFFS File System -- A Multi-dimensional Trustworthy Behavior Monitoring Method Based on Discriminant Locality Preserving Projections -- NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment -- Two-Fold Spatiotemporal Regression Modeling in Wireless Sensor Networks -- Generating Tags for Service Reviews -- Developing Treatment Plan Support in Outpatient Health Care Delivery with Decision Trees Technique -- Factor Analysis of E-business in Skill-Based Strategic Collaboration -- Increasing the Meaningful Use of Electronic Medical Records: A Localized Health Level 7 Clinical Document Architecture System -- Corpus-Based Analysis of the Co-occurrence of Chinese Antonym Pairs -- Application of Decision-Tree Based on Prediction Model for Project Management -- Management Policies Analysis for Multi-core Shared Caches -- Multi-core Architecture Cache Performance Analysis and Optimization Based on Distributed Method -- The Research on the User Experience of E-Commercial Website Based on User Subdivision -- An Ontology-Based Framework Model for Trustworthy Software Evolution -- Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval -- A Distributed Node Clustering Mechanism in P2P Networks -- Exploratory Factor Analysis Approach for Understanding Consumer Behavior toward Using Chongqing City Card. |
| Record Nr. | UNINA-9910484202003321 |
| Berlin ; ; Heidelberg, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II / / edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II / / edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXII, 857 p. 252 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Application software Database management Computer security Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Systems and Data Security |
| ISBN | 3-319-57529-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction. |
| Record Nr. | UNISA-996465811403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I / / edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I / / edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXII, 841 p. 242 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Application software Database management Computer security Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Systems and Data Security |
| ISBN | 3-319-57454-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction. |
| Record Nr. | UNISA-996465809403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
