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Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXX, 763 p. 224 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-319-18038-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Social Networks and Social Media -- Maximizing Friend-Making Likelihood for Social Activity Organization -- What Is New in Our City? A Framework for Event Extraction Using Social Media Posts -- Link Prediction in Aligned Heterogeneous Networks -- Scale-Adaptive Group Optimization for Social Activity Planning -- Influence Maximization Across Partially Aligned Heterogeneous Social Networks -- Multiple Factors-Aware Diffusion in Social Networks -- Understanding Community Effects on Information Diffusion -- On Burst Detection and Prediction in Retweeting Sequence -- Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network -- Retweeting Activity on Twitter: Signs of Reception -- Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network -- Classification -- Double Ramp Loss Based Reject Option Classifier -- Efficient Methods for Multi-label Classification -- A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification -- Learning Topic-Oriented Word Embedding for Query Classification -- Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes -- Distributed Document Representation for Document Classification -- Prediction of Emergency Events: A Multi-Task Multi-Label Learning Approach -- Nearest Neighbor Method Based on Local Distribution for Classification -- Immune Centroids Over-Sampling Method for Multi-Class Classification -- Optimizing Classifiers for Hypothetical Scenarios -- Repulsive-SVDD Classification -- Centroid-Means-Embedding: an Approach to Infusing Word Embeddings into Features for Text Classification -- Machine Learning -- Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning -- Multi-Task Metric Learning on Network Data -- A Bayesian Nonparametric Approach to Multilevel Regression -- Learning Conditional Latent Structures from Multiple Data Sources -- Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation -- Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning -- Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages -- Uncovering the Latent Structures of Crowd Labeling -- Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models -- Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation -- Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection -- A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization -- Applications -- On Damage Identification in Civil Structures Using Tensor Analysis -- Predicting Smartphone Adoption in Social Networks -- Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data -- Locating Self-collection Points for Last-mile Logistics using Public Transport Data -- A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field -- Online Prediction of Chess Match Result -- Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments -- Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and its Application to Autism Research Literature -- Automated Detection for Probable Homologous Foodborne Disease Outbreaks -- Identifying Hesitant and Interested Customers for Targeted Social Marketing -- Activity-Partner Recommendation -- Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems -- Novel Methods and Algorithms Principal Sensitivity Analysis -- SocNL: Bayesian Label Propagation with Confidence -- An Incremental Local Distribution Network for Unsupervised Learning -- Trend-Based Citation Count Prediction for Research Articles -- Mining Text Enriched Heterogeneous Citation Networks -- Boosting via Approaching Optimal Margin Distribution -- o-HETM: An Online Hierarchical Entity Topic Model for News Streams -- Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach -- Minimal Jumping Emerging Patterns: Computation and Practical Assessment -- Factorisation -- An Empirical Study of Personal Factors and Social Effects on Rating Prediction. |
| Record Nr. | UNINA-9910484174703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXIX, 773 p. 237 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-319-18032-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Opinion Mining and Sentiment Analysis -- Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model -- Parallel Recursive Deep Model for Sentiment Analysis -- Sentiment Analysis in Transcribed Utterances -- Rating Entities and Aspects Using a Hierarchical Model -- Sentiment Analysis on Microblogging by Integrating Text and Image Features -- TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets during a Disaster for Reaction -- Clustering -- Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data -- Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints -- Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling Based Nyström Method -- pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts -- Clustering Over Data Streams Based on Growing Neural Gas -- Computing and Mining ClustCube Cubes Efficiently -- Outlier and Anomaly Detection Contextual Anomaly Detection Using Log-Linear Tensor Factorization -- A Semi-Supervised Framework for Social Spammer Detection -- Fast One-Class Support Vector Machine for Novelty Detection -- ND-SYNC: Detecting Synchronized Fraud Activities -- An Embedding Scheme for Detecting Anomalous Block Structured Graphs -- A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks -- Mining Uncertain and Imprecise Data Mining Uncertain Sequential Patterns in Iterative MapReduce -- Quality Control for Crowdsourced POI Collection -- Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases -- Preference-Based Top-k Representative Skyline Queries on Uncertain Databases -- Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty -- Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy -- Mining Temporal and Spatial Data Automated Classification of Passing in Football -- Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records -- Predicting Next Locations with Object Clustering and Trajectory Clustering -- A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction -- Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data -- Semi Supervised Adaptive Framework for Classifying Evolving Data Stream -- Feature Extraction and Selection Cost-Sensitive Feature Selection on Heterogeneous Data -- A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns -- Scalable Outlying-Inlying Aspects Discovery via Feature Ranking -- A DC Programming Approach for Sparse Optimal Scoring -- Graph Based Relational Features for Collective Classification -- A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data -- Mining Heterogeneous, High Dimensional, and Sequential Data Seamlessly Integrating Effective Links with Attributes for Networked Data Classification -- Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization -- Locally Optimized Hashing for Nearest Neighbor Search -- Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems -- Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences -- Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification -- Entity Resolution and Topic Modelling Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage -- Efficient Interactive Training Selection for Large-Scale Entity Resolution -- Unsupervised Blocking Key Selection for Real-Time Entity Resolution -- Incorporating Probabilistic Knowledge into Topic Models -- Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs -- Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network -- Itemset and High Performance Data Mining CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree -- Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets -- Mining High Utility Itemsets in Big Data -- Decomposition Based SAT Encodings for Itemset Mining Problems -- A Comparative Study on Parallel LDA Algorithms in MapReduce Framework -- Distributed Newton Methods for Regularized Logistic Regression -- Recommendation -- Coupled Matrix Factorization Within Non-IID Context -- Complementary Usage of Tips and Reviews for Location Recommendation in Yelp -- Coupling Multiple Views of Relations for Recommendation -- Pairwise One Class Recommendation Algorithm -- RIT: Enhancing Recommendation with Inferred Trust. |
| Record Nr. | UNINA-9910484071703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXX, 763 p. 224 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-319-18038-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Social Networks and Social Media -- Maximizing Friend-Making Likelihood for Social Activity Organization -- What Is New in Our City? A Framework for Event Extraction Using Social Media Posts -- Link Prediction in Aligned Heterogeneous Networks -- Scale-Adaptive Group Optimization for Social Activity Planning -- Influence Maximization Across Partially Aligned Heterogeneous Social Networks -- Multiple Factors-Aware Diffusion in Social Networks -- Understanding Community Effects on Information Diffusion -- On Burst Detection and Prediction in Retweeting Sequence -- Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network -- Retweeting Activity on Twitter: Signs of Reception -- Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network -- Classification -- Double Ramp Loss Based Reject Option Classifier -- Efficient Methods for Multi-label Classification -- A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification -- Learning Topic-Oriented Word Embedding for Query Classification -- Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes -- Distributed Document Representation for Document Classification -- Prediction of Emergency Events: A Multi-Task Multi-Label Learning Approach -- Nearest Neighbor Method Based on Local Distribution for Classification -- Immune Centroids Over-Sampling Method for Multi-Class Classification -- Optimizing Classifiers for Hypothetical Scenarios -- Repulsive-SVDD Classification -- Centroid-Means-Embedding: an Approach to Infusing Word Embeddings into Features for Text Classification -- Machine Learning -- Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning -- Multi-Task Metric Learning on Network Data -- A Bayesian Nonparametric Approach to Multilevel Regression -- Learning Conditional Latent Structures from Multiple Data Sources -- Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation -- Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning -- Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages -- Uncovering the Latent Structures of Crowd Labeling -- Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models -- Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation -- Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection -- A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization -- Applications -- On Damage Identification in Civil Structures Using Tensor Analysis -- Predicting Smartphone Adoption in Social Networks -- Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data -- Locating Self-collection Points for Last-mile Logistics using Public Transport Data -- A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field -- Online Prediction of Chess Match Result -- Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments -- Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and its Application to Autism Research Literature -- Automated Detection for Probable Homologous Foodborne Disease Outbreaks -- Identifying Hesitant and Interested Customers for Targeted Social Marketing -- Activity-Partner Recommendation -- Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems -- Novel Methods and Algorithms Principal Sensitivity Analysis -- SocNL: Bayesian Label Propagation with Confidence -- An Incremental Local Distribution Network for Unsupervised Learning -- Trend-Based Citation Count Prediction for Research Articles -- Mining Text Enriched Heterogeneous Citation Networks -- Boosting via Approaching Optimal Margin Distribution -- o-HETM: An Online Hierarchical Entity Topic Model for News Streams -- Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach -- Minimal Jumping Emerging Patterns: Computation and Practical Assessment -- Factorisation -- An Empirical Study of Personal Factors and Social Effects on Rating Prediction. |
| Record Nr. | UNISA-996207294203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXIX, 773 p. 237 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-319-18032-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Opinion Mining and Sentiment Analysis -- Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model -- Parallel Recursive Deep Model for Sentiment Analysis -- Sentiment Analysis in Transcribed Utterances -- Rating Entities and Aspects Using a Hierarchical Model -- Sentiment Analysis on Microblogging by Integrating Text and Image Features -- TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets during a Disaster for Reaction -- Clustering -- Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data -- Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints -- Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling Based Nyström Method -- pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts -- Clustering Over Data Streams Based on Growing Neural Gas -- Computing and Mining ClustCube Cubes Efficiently -- Outlier and Anomaly Detection Contextual Anomaly Detection Using Log-Linear Tensor Factorization -- A Semi-Supervised Framework for Social Spammer Detection -- Fast One-Class Support Vector Machine for Novelty Detection -- ND-SYNC: Detecting Synchronized Fraud Activities -- An Embedding Scheme for Detecting Anomalous Block Structured Graphs -- A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks -- Mining Uncertain and Imprecise Data Mining Uncertain Sequential Patterns in Iterative MapReduce -- Quality Control for Crowdsourced POI Collection -- Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases -- Preference-Based Top-k Representative Skyline Queries on Uncertain Databases -- Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty -- Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy -- Mining Temporal and Spatial Data Automated Classification of Passing in Football -- Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records -- Predicting Next Locations with Object Clustering and Trajectory Clustering -- A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction -- Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data -- Semi Supervised Adaptive Framework for Classifying Evolving Data Stream -- Feature Extraction and Selection Cost-Sensitive Feature Selection on Heterogeneous Data -- A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns -- Scalable Outlying-Inlying Aspects Discovery via Feature Ranking -- A DC Programming Approach for Sparse Optimal Scoring -- Graph Based Relational Features for Collective Classification -- A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data -- Mining Heterogeneous, High Dimensional, and Sequential Data Seamlessly Integrating Effective Links with Attributes for Networked Data Classification -- Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization -- Locally Optimized Hashing for Nearest Neighbor Search -- Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems -- Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences -- Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification -- Entity Resolution and Topic Modelling Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage -- Efficient Interactive Training Selection for Large-Scale Entity Resolution -- Unsupervised Blocking Key Selection for Real-Time Entity Resolution -- Incorporating Probabilistic Knowledge into Topic Models -- Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs -- Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network -- Itemset and High Performance Data Mining CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree -- Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets -- Mining High Utility Itemsets in Big Data -- Decomposition Based SAT Encodings for Itemset Mining Problems -- A Comparative Study on Parallel LDA Algorithms in MapReduce Framework -- Distributed Newton Methods for Regularized Logistic Regression -- Recommendation -- Coupled Matrix Factorization Within Non-IID Context -- Complementary Usage of Tips and Reviews for Location Recommendation in Yelp -- Coupling Multiple Views of Relations for Recommendation -- Pairwise One Class Recommendation Algorithm -- RIT: Enhancing Recommendation with Inferred Trust. |
| Record Nr. | UNISA-996200028603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings / / edited by Tu Bao Ho, David Cheung, Huan Liu
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings / / edited by Tu Bao Ho, David Cheung, Huan Liu |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXI, 864 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Database management Information storage and retrieval Mathematical statistics Multimedia information systems Application software Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Multimedia Information Systems Computer Appl. in Administrative Data Processing |
| ISBN |
3-540-31935-2
3-540-26076-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speech and Invited Talks -- Theoretic Foundations -- Association Rules -- Biomedical Domains -- Classification and Ranking -- Clustering -- Dynamic Data Mining -- Graphic Model Discovery -- High Dimensional Data -- Integration of Data Warehousing -- Knowledge Management -- Machine Learning Methods -- Novel Algorithms -- Spatial Data -- Temporal Data -- Text and Web Data Mining. |
| Record Nr. | UNISA-996465702503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings / / edited by Tu Bao Ho, David Cheung, Huan Liu
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings / / edited by Tu Bao Ho, David Cheung, Huan Liu |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXI, 864 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Database management Information storage and retrieval Mathematical statistics Multimedia information systems Application software Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Multimedia Information Systems Computer Appl. in Administrative Data Processing |
| ISBN |
3-540-31935-2
3-540-26076-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speech and Invited Talks -- Theoretic Foundations -- Association Rules -- Biomedical Domains -- Classification and Ranking -- Clustering -- Dynamic Data Mining -- Graphic Model Discovery -- High Dimensional Data -- Integration of Data Warehousing -- Knowledge Management -- Machine Learning Methods -- Novel Algorithms -- Spatial Data -- Temporal Data -- Text and Web Data Mining. |
| Record Nr. | UNINA-9910768451803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XVII, 599 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Information storage and retrieval Information technology Business—Data processing Application software Mathematical statistics Data Structures and Information Theory Artificial Intelligence Information Storage and Retrieval IT in Business Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science |
| ISBN | 3-540-45357-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Presentations -- Incompleteness in Data Mining -- Mining E-Commerce Data: The Good, the Bad, and the Ugly -- Seamless Integration of Data Mining with DBMS and Applications -- Web Mining -- Applying Pattern Mining to Web Information Extraction -- Empirical Study of Recommender Systems Using Linear Classifiers -- iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping -- A Characterized Rating Recommend System -- Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents -- Text Mining -- Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification -- Predictive Self-Organizing Networks for Text Categorization -- Meta-learning Models for Automatic Textual Document Categorization -- Efficient Algorithms for Concept Space Construction -- Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks -- Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps -- Applications and Tools -- Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis -- A Toolbox Approach to Flexible and Efficient Data Mining -- Determining Progression in Glaucoma Using Visual Fields -- Seabreeze Prediction Using Bayesian Networks -- Semi-supervised Learning in Medical Image Database -- On Application of Rough Data Mining Methods to Automatic Construction of Student Models -- Concept Hierarchies -- Concept Approximation in Concept Lattice -- Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data -- Representing Large Concept Hierarchies Using Lattice Data Structure -- Feature Selection -- Feature Selection for Temporal Health Records -- Boosting the Performance of Nearest Neighbour Methods with Feature Selection -- Feature Selection for Meta-learning -- Interestingness -- Efficient Mining of Niches and Set Routines -- Evaluation of Interestingness Measures for Ranking Discovered Knowledge -- Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data -- Sequence Mining -- Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control -- Scalable Hierarchical Clustering Method for Sequences of Categorical Values -- FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences -- Sequential Index Structure for Content-Based Retrieval -- Spatial and Temporal Mining -- The S 2-Tree: An Index Structure for Subsequence Matching of Spatial Objects -- Temporal Data Mining Using Hidden Markov-Local Polynomial Models -- Patterns Discovery Based on Time-Series Decomposition -- Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering -- Micro Similarity Queries in Time Series Database -- Association Mining -- Mining Optimal Class Association Rule Set -- Generating Frequent Patterns with the Frequent Pattern List -- User-Defined Association Mining -- Direct and Incremental Computing of Maximal Covering Rules -- Towards Efficient Data Re-mining (DRM) -- Data Allocation Algorithm for Parallel Association Rule Discovery -- Classification and Rule Induction -- Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm -- Hierarchical Classification of Documents with Error Control -- An Efficient Data Compression Approach to the Classification Task -- Combining the Strength of Pattern Frequency and Distance for Classification -- A Scalable Algorithm for Rule Post-pruning of Large Decision Trees -- Optimizing the Induction of Alternating Decision Trees -- Building Behaviour Knowledge Space to Make Classification Decision -- Clustering -- Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions -- A Rough Set-Based Clustering Method with Modification of Equivalence Relations -- Importance of Individual Variables in the k-Means Algorithm -- A Hybrid Approach to Clustering in Very Large Databases -- Advanced Topics and New Methods -- A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method -- Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron -- Knowledge Acquisition from Both Human Expert and Data -- Neighborhood Dependencies for Prediction -- Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms -- Interactive Construction of Decision Trees -- An Improved Learning Algorithm for Augmented Naive Bayes -- Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. |
| Record Nr. | UNINA-9910143597403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XVII, 599 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Information storage and retrieval Information technology Business—Data processing Application software Mathematical statistics Data Structures and Information Theory Artificial Intelligence Information Storage and Retrieval IT in Business Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science |
| ISBN | 3-540-45357-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Presentations -- Incompleteness in Data Mining -- Mining E-Commerce Data: The Good, the Bad, and the Ugly -- Seamless Integration of Data Mining with DBMS and Applications -- Web Mining -- Applying Pattern Mining to Web Information Extraction -- Empirical Study of Recommender Systems Using Linear Classifiers -- iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping -- A Characterized Rating Recommend System -- Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents -- Text Mining -- Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification -- Predictive Self-Organizing Networks for Text Categorization -- Meta-learning Models for Automatic Textual Document Categorization -- Efficient Algorithms for Concept Space Construction -- Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks -- Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps -- Applications and Tools -- Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis -- A Toolbox Approach to Flexible and Efficient Data Mining -- Determining Progression in Glaucoma Using Visual Fields -- Seabreeze Prediction Using Bayesian Networks -- Semi-supervised Learning in Medical Image Database -- On Application of Rough Data Mining Methods to Automatic Construction of Student Models -- Concept Hierarchies -- Concept Approximation in Concept Lattice -- Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data -- Representing Large Concept Hierarchies Using Lattice Data Structure -- Feature Selection -- Feature Selection for Temporal Health Records -- Boosting the Performance of Nearest Neighbour Methods with Feature Selection -- Feature Selection for Meta-learning -- Interestingness -- Efficient Mining of Niches and Set Routines -- Evaluation of Interestingness Measures for Ranking Discovered Knowledge -- Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data -- Sequence Mining -- Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control -- Scalable Hierarchical Clustering Method for Sequences of Categorical Values -- FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences -- Sequential Index Structure for Content-Based Retrieval -- Spatial and Temporal Mining -- The S 2-Tree: An Index Structure for Subsequence Matching of Spatial Objects -- Temporal Data Mining Using Hidden Markov-Local Polynomial Models -- Patterns Discovery Based on Time-Series Decomposition -- Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering -- Micro Similarity Queries in Time Series Database -- Association Mining -- Mining Optimal Class Association Rule Set -- Generating Frequent Patterns with the Frequent Pattern List -- User-Defined Association Mining -- Direct and Incremental Computing of Maximal Covering Rules -- Towards Efficient Data Re-mining (DRM) -- Data Allocation Algorithm for Parallel Association Rule Discovery -- Classification and Rule Induction -- Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm -- Hierarchical Classification of Documents with Error Control -- An Efficient Data Compression Approach to the Classification Task -- Combining the Strength of Pattern Frequency and Distance for Classification -- A Scalable Algorithm for Rule Post-pruning of Large Decision Trees -- Optimizing the Induction of Alternating Decision Trees -- Building Behaviour Knowledge Space to Make Classification Decision -- Clustering -- Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions -- A Rough Set-Based Clustering Method with Modification of Equivalence Relations -- Importance of Individual Variables in the k-Means Algorithm -- A Hybrid Approach to Clustering in Very Large Databases -- Advanced Topics and New Methods -- A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method -- Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron -- Knowledge Acquisition from Both Human Expert and Data -- Neighborhood Dependencies for Prediction -- Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms -- Interactive Construction of Decision Trees -- An Improved Learning Algorithm for Augmented Naive Bayes -- Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. |
| Record Nr. | UNISA-996465775103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Conceptual Modeling [[electronic resource] ] : 31st International Conference on Conceptual Modeling, Florence, Italy, October 15-18, 2012, Proceeding / / edited by Paolo Atzeni, David Cheung, Sudha Ram
| Conceptual Modeling [[electronic resource] ] : 31st International Conference on Conceptual Modeling, Florence, Italy, October 15-18, 2012, Proceeding / / edited by Paolo Atzeni, David Cheung, Sudha Ram |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XX, 592 p. 206 illus.) |
| Disciplina | 005.7402854678 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Software engineering
Computer logic Data mining Database management Information storage and retrieval Computer simulation Software Engineering Logics and Meanings of Programs Data Mining and Knowledge Discovery Database Management Information Storage and Retrieval Simulation and Modeling |
| ISBN | 3-642-34002-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynotes -- Mega-modeling for Big Data Analytics -- Roberto Trasarti -- Spatial Keyword Querying -- Of Cubes, DAGs and Hierarchical Correlations:A Novel Conceptual Model for Analyzing Social Media Data -- Understandability and Cognitive Approaches -- Understanding Constraint Expressions in Large Conceptual Schemas by Automatic Filtering -- Understanding Understandability of Conceptual Models–What Are We Actually Talking about? -- Rules from Cognition for Conceptual Modelling -- Conceptual Modeling for Datawarehousing and Business Intelligence -- Using Domain Ontologies as Semantic Dimensions in Data Warehouses -- Sliced Column-Store(SCS):Ontological Foundations and Practical Implications -- Schema Decryption for Large Extract-Transform-Load Systems -- Extraction, Discovery and Clustering -- Fast Group Recommendations by Applying User Clustering -- Understanding Tables on the Web -- Bridging the Gaps towards Advanced Data Discovery over Semi-structured Data -- Towards Discovering Conceptual Models behind Web Sites -- Search and Documents -- A Distance-Based Spelling Suggestion Method for XML Keyword Search -- Cross-Language Hybrid Keyword and Semantic Search -- Mapping Semantic Widgets to Web-Based, Domain-Specific Collections -- Process Modeling I.-Evaluation Measures for Similarity Search Results in Process Model Repositories -- The MOSKitt4ME Approach:Providing Process Support in a Method Engineering Context -- Extending Conceptual Data Model for Dynamic Environment -- Process Modeling II.-Contracts+Goals=Roles? -- Specialization in i*Strategic Rationale Diagrams -- Conceptualizing and Specifying Key Performance Indicators in BusinessStrategy Models -- Data and Process Modeling Data Support in Process Model Abstraction -- Synthesizing Object Life Cycles from Business Process Models -- Conceptual Modeling for Systems Integration -- Ontology Based Approaches Ontology Evolution:Assisting Query Migration -- Ontology of Dynamic Entities -- A Supervised Method for Lexical Annotation of Schema Labels Based on Wikipedia -- Variability and Evolution Optimising Schema Evolution Operation Sequences in Object Databases for Data Evolution -- Capturing Variability of Law with N`omos 2 -- Deriving Variability Patterns in Software Product Lines by Ontological Considerations -- Adaptation, Preferences and Query Refinment A Preference-Aware Query Model for Data Web Services -- User Feedback Based Query Refinement by Exploiting Skyline Operator -- A NFR-Based Framework for User-Centered Adaptation -- Queries, Matching and Topic Search Concept-Based Web Search -- A Linear Algebra Technique for (de)Centralized Processing of SPARQL Queries -- Non-binary Evaluation for Schema Matching -- Conceptual Modeling in Action -- An Integrated Conceptual Model to Incorporate Information Tasks in Workflow Models -- A Method for the Definition and Treatment of Conceptual Schema Quality Issues -- EERMM:A Metamodel for the Enhanced Entity-Relationship Model -- Posters -- Introducing Usability in a Conceptual Modeling-Based Software Development Process -- Conceptualizing Data in Multinational Enterprises: Model Design and Application -- A Metadata-based Approach to Leveraging the Information Supply of Business Intelligence Systems -- PhD Symposium Full Papers -- SPIDER-Graph:A Model for Heterogeneous Graphs Extracted from a Relational Database -- Exploiting Data Dependencies with Null Values for Ontology Extraction -- Partial Multi-dimensional Schema Merging in Heterogeneous Data Warehouses -- PhD Symposium Poster Papers -- Knowlog: A Declarative Language for Reasoning about Knowledge in Distributed Systems -- A Framework for Populating Ontological Models from Semi-structured Web Documents -- Data Management in a Modern ITS:Problems and Solutions. |
| Record Nr. | UNISA-996465647603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of the 18th Acm Conference on Information and Knowledge Management
| Proceedings of the 18th Acm Conference on Information and Knowledge Management |
| Autore | Cheung David <1949-> (HUA) |
| Pubbl/distr/stampa | [Place of publication not identified], : Association for Computing Machinery, 2009 |
| Descrizione fisica | 1 online resource (2162 p.;) |
| Collana | ACM Conferences |
| Soggetto topico | Information Technology - Computer Science (Hardware & Networks) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | CIKM '09 |
| Record Nr. | UNINA-9910376245303321 |
Cheung David <1949-> (HUA)
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| [Place of publication not identified], : Association for Computing Machinery, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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