top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advanced Data Mining and Applications [[electronic resource] ] : 14th International Conference, ADMA 2018, Nanjing, China, November 16–18, 2018, Proceedings / / edited by Guojun Gan, Bohan Li, Xue Li, Shuliang Wang
Advanced Data Mining and Applications [[electronic resource] ] : 14th International Conference, ADMA 2018, Nanjing, China, November 16–18, 2018, Proceedings / / edited by Guojun Gan, Bohan Li, Xue Li, Shuliang Wang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIV, 532 p. 199 illus., 137 illus. in color.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Database management
Information storage and retrieval
Computer organization
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Computer Systems Organization and Communication Networks
ISBN 3-030-05090-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Mining Foundations -- Big Data -- Text and Multimedia Mining -- Miscellaneous Topics.
Record Nr. UNINA-9910349386203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 14th International Conference, ADMA 2018, Nanjing, China, November 16–18, 2018, Proceedings / / edited by Guojun Gan, Bohan Li, Xue Li, Shuliang Wang
Advanced Data Mining and Applications [[electronic resource] ] : 14th International Conference, ADMA 2018, Nanjing, China, November 16–18, 2018, Proceedings / / edited by Guojun Gan, Bohan Li, Xue Li, Shuliang Wang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIV, 532 p. 199 illus., 137 illus. in color.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Database management
Information storage and retrieval
Computer organization
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Computer Systems Organization and Communication Networks
ISBN 3-030-05090-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Mining Foundations -- Big Data -- Text and Multimedia Mining -- Miscellaneous Topics.
Record Nr. UNISA-996466300803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings / / edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun
Advanced Data Mining and Applications [[electronic resource] ] : 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings / / edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVII, 881 p. 264 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Natural language processing (Computer science)
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Natural Language Processing (NLP)
Computer Communication Networks
ISBN 3-319-69179-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods --  StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data.
Record Nr. UNINA-9910484704803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings / / edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun
Advanced Data Mining and Applications [[electronic resource] ] : 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings / / edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVII, 881 p. 264 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Natural language processing (Computer science)
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Natural Language Processing (NLP)
Computer Communication Networks
ISBN 3-319-69179-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods --  StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data.
Record Nr. UNISA-996465333903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings / / edited by Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng
Advanced Data Mining and Applications [[electronic resource] ] : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings / / edited by Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVI, 817 p. 280 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Database management
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Database Management
Computer Communication Networks
ISBN 3-319-49586-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465521503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings / / edited by Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng
Advanced Data Mining and Applications [[electronic resource] ] : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings / / edited by Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVI, 817 p. 280 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Database management
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Database Management
Computer Communication Networks
ISBN 3-319-49586-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484681803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014, Proceedings / / edited by Xudong Luo, Jeffrey Xu Yu, Zhi Li
Advanced Data Mining and Applications [[electronic resource] ] : 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014, Proceedings / / edited by Xudong Luo, Jeffrey Xu Yu, Zhi Li
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVI, 741 p. 298 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Database management
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Database Management
ISBN 3-319-14717-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Mining -- A New Improved Apriori Algorithm Based on Compression Matrix -- FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits -- Novel Concise Representations of High Utility Itemsets Using Generator Patterns -- Incrementally Updating High-Utility Itemsets with Transaction Insertion -- Mining Frequent Closed Sequential Patterns with Non-user-defined Gap Constraints -- High Utility Episode Mining Made Practical and Fast -- Social Network and Social Media -- Community Dynamics: Event and Role Analysis in Social Network Analysis -- Local Community Extraction for Non-overlapping and Overlapping Community Detection -- Discovery of Tampered Image with Robust Hashing -- TweeProfiles: Detection of Spatio-temporal Patterns on Twitter -- Real-Time Event Detection Based on Geo Extraction and Temporal Analysis -- An Automatic Unsupervised Method Based on Context-Sensitive Spectral Angle Mapper for Change Detection of Remote Sensing Images -- Recommend System -- A Personalized Travel System Based on Crowdsourcing Model -- Difference Factor’ KNN Collaborative Filtering Recommendation Algorithm -- A Reputation-Enhanced Recommender System -- An Empirical Methodology to Analyze the Behavior of Bagging -- Context-Aware Recommendation Using GPU Based Parallel Tensor Decomposition -- Location-Based Recommendation Using Incremental Tensor Factorization Model -- Database Mining Continuous Activity Patterns from Animal Trajectory Data -- Personalized Privacy Protection for Transactional Data -- A Hybrid Algorithm for Privacy Preserving Social Network Publication -- Achieving Absolute Privacy Preservation in Continuous Query Road Network Services -- A C-DBSCAN Algorithm for Determining Bus-Stop Locations Based on Taxi GPS Data -- A Secure and Efficient Privacy-Preserving Attribute Matchmaking Protocol in Proximity-Based Mobile Social Networks -- Dimensionality Reduction -- A New Filter Approach Based on Generalized Data Field -- A Stable Instance Based Filter for Feature Selection in Small Sample Size Data Sets -- Multi-label Feature Selection via Information Gain -- Efficient kNN Algorithm Based on Graph Sparse Reconstruction -- On Dynamic Selection of Subspace for Random Forest -- Dimensionally Reduction: An Experimental Study -- Advance Machine Learning Techniques -- Efficient Deep Learning Algorithm with Accelerating Inference Strategy -- Multi-angle Evaluations of Test Cases Based on Dynamic Analysis -- An Interest-Based Clustering Method for Web Information Visualization -- A Serial Sample Selection Framework for Active Learning -- Map Matching for Taxi GPS Data with Extreme Learning Machine -- A Segment-Wise Method for Pseudo Periodic Time Series Prediction -- Classification -- Constructing Decision Trees for Unstructured Data -- Attack Type Prediction Using Hybrid Classifier -- kNN Algorithm with Data-Driven k Value -- Topology Potential-Based Parameter Selecting for Support Vector Machine -- Active Multi-label Learning with Optimal Label Subset Selection -- Merging Decision Trees: A Case Study in Predicting Student Performance -- Big Data and Applications -- Faster MaxScore Query Processing with Essential List Skipping -- Selecting Representative Objects from Large Database by Using K-Skyband and Top-k Dominating Queries in MapReduce Environment -- Towards Positive Unlabeled Learning for Parallel Data Mining: A Random Forest Framework -- Program Verification by Reachability Searching over Dynamic Call Tree -- CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store -- Towards Ontology-Enhanced Cloud Services Discovery -- Clustering Methods -- A Huffman Tree-Based Algorithm for Clustering Documents. -Improved Spectral Clustering Algorithm Based on Similarity Measure -- A Partition Clustering Algorithm for Transaction Database Based on FCM -- Machine Learning -- Discernibility Matrix Enriching and Boolean-And Algorithm for Attributes Reduction -- Smart Partitioning for Product DSM Model Based on Improved Genetic Algorithm -- A New Method for Image Understanding and Retrieval Using Text-Mined Knowledge -- A Web Table Extraction Method Based on Structure and Ontology -- Data Mining and Database -- Block Nested Join and Sort Merge Join Algorithms: An Empirical Evaluation -- The Design of Power Security System in Smart Home Based on the Stream Data Mining -- Agent-Based Privacy Aware Feedback System.
Record Nr. UNISA-996211262403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014, Proceedings / / edited by Xudong Luo, Jeffrey Xu Yu, Zhi Li
Advanced Data Mining and Applications [[electronic resource] ] : 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014, Proceedings / / edited by Xudong Luo, Jeffrey Xu Yu, Zhi Li
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVI, 741 p. 298 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Database management
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Database Management
ISBN 3-319-14717-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Mining -- A New Improved Apriori Algorithm Based on Compression Matrix -- FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits -- Novel Concise Representations of High Utility Itemsets Using Generator Patterns -- Incrementally Updating High-Utility Itemsets with Transaction Insertion -- Mining Frequent Closed Sequential Patterns with Non-user-defined Gap Constraints -- High Utility Episode Mining Made Practical and Fast -- Social Network and Social Media -- Community Dynamics: Event and Role Analysis in Social Network Analysis -- Local Community Extraction for Non-overlapping and Overlapping Community Detection -- Discovery of Tampered Image with Robust Hashing -- TweeProfiles: Detection of Spatio-temporal Patterns on Twitter -- Real-Time Event Detection Based on Geo Extraction and Temporal Analysis -- An Automatic Unsupervised Method Based on Context-Sensitive Spectral Angle Mapper for Change Detection of Remote Sensing Images -- Recommend System -- A Personalized Travel System Based on Crowdsourcing Model -- Difference Factor’ KNN Collaborative Filtering Recommendation Algorithm -- A Reputation-Enhanced Recommender System -- An Empirical Methodology to Analyze the Behavior of Bagging -- Context-Aware Recommendation Using GPU Based Parallel Tensor Decomposition -- Location-Based Recommendation Using Incremental Tensor Factorization Model -- Database Mining Continuous Activity Patterns from Animal Trajectory Data -- Personalized Privacy Protection for Transactional Data -- A Hybrid Algorithm for Privacy Preserving Social Network Publication -- Achieving Absolute Privacy Preservation in Continuous Query Road Network Services -- A C-DBSCAN Algorithm for Determining Bus-Stop Locations Based on Taxi GPS Data -- A Secure and Efficient Privacy-Preserving Attribute Matchmaking Protocol in Proximity-Based Mobile Social Networks -- Dimensionality Reduction -- A New Filter Approach Based on Generalized Data Field -- A Stable Instance Based Filter for Feature Selection in Small Sample Size Data Sets -- Multi-label Feature Selection via Information Gain -- Efficient kNN Algorithm Based on Graph Sparse Reconstruction -- On Dynamic Selection of Subspace for Random Forest -- Dimensionally Reduction: An Experimental Study -- Advance Machine Learning Techniques -- Efficient Deep Learning Algorithm with Accelerating Inference Strategy -- Multi-angle Evaluations of Test Cases Based on Dynamic Analysis -- An Interest-Based Clustering Method for Web Information Visualization -- A Serial Sample Selection Framework for Active Learning -- Map Matching for Taxi GPS Data with Extreme Learning Machine -- A Segment-Wise Method for Pseudo Periodic Time Series Prediction -- Classification -- Constructing Decision Trees for Unstructured Data -- Attack Type Prediction Using Hybrid Classifier -- kNN Algorithm with Data-Driven k Value -- Topology Potential-Based Parameter Selecting for Support Vector Machine -- Active Multi-label Learning with Optimal Label Subset Selection -- Merging Decision Trees: A Case Study in Predicting Student Performance -- Big Data and Applications -- Faster MaxScore Query Processing with Essential List Skipping -- Selecting Representative Objects from Large Database by Using K-Skyband and Top-k Dominating Queries in MapReduce Environment -- Towards Positive Unlabeled Learning for Parallel Data Mining: A Random Forest Framework -- Program Verification by Reachability Searching over Dynamic Call Tree -- CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store -- Towards Ontology-Enhanced Cloud Services Discovery -- Clustering Methods -- A Huffman Tree-Based Algorithm for Clustering Documents. -Improved Spectral Clustering Algorithm Based on Similarity Measure -- A Partition Clustering Algorithm for Transaction Database Based on FCM -- Machine Learning -- Discernibility Matrix Enriching and Boolean-And Algorithm for Attributes Reduction -- Smart Partitioning for Product DSM Model Based on Improved Genetic Algorithm -- A New Method for Image Understanding and Retrieval Using Text-Mined Knowledge -- A Web Table Extraction Method Based on Structure and Ontology -- Data Mining and Database -- Block Nested Join and Sort Merge Join Algorithms: An Empirical Evaluation -- The Design of Power Security System in Smart Home Based on the Stream Data Mining -- Agent-Based Privacy Aware Feedback System.
Record Nr. UNINA-9910483444403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui

Data di pubblicazione

Altro...