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Advances in Knowledge Discovery and Data Mining, Part I [[electronic resource] ] : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabat, India, June 21-24, 2010, Proceedings / / edited by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi
| Advances in Knowledge Discovery and Data Mining, Part I [[electronic resource] ] : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabat, India, June 21-24, 2010, Proceedings / / edited by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (506 p. 167 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Information storage and retrieval Database management Algorithms Data Mining and Knowledge Discovery Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Algorithm Analysis and Problem Complexity |
| ISBN |
1-280-38719-X
9786613565112 3-642-13657-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speeches -- Empower People with Knowledge: The Next Frontier for Web Search -- Discovery of Patterns in Global Earth Science Data Using Data Mining -- Game Theoretic Approaches to Knowledge Discovery and Data Mining -- Session 1A. Clustering I -- A Set Correlation Model for Partitional Clustering -- iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment -- A Robust Seedless Algorithm for Correlation Clustering -- Integrative Parameter-Free Clustering of Data with Mixed Type Attributes -- Data Transformation for Sum Squared Residue -- Session 1B. Social Networks -- A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods -- Mining Antagonistic Communities from Social Networks -- As Time Goes by: Discovering Eras in Evolving Social Networks -- Online Sampling of High Centrality Individuals in Social Networks -- Estimate on Expectation for Influence Maximization in Social Networks -- Session 1C. Classification I -- A Novel Scalable Multi-class ROC for Effective Visualization and Computation -- Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL -- Rough Margin Based Core Vector Machine -- BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification -- A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification -- Session 2A. Privacy -- Hiding Emerging Patterns with Local Recoding Generalization -- Anonymizing Transaction Data by Integrating Suppression and Generalization -- Satisfying Privacy Requirements: One Step before Anonymization -- Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation -- Privacy-Preserving Network Aggregation -- Multivariate Equi-width Data Swapping for Private Data Publication -- Session 2B. Spatio-Temporal Mining -- Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets -- Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids -- Subseries Join: A Similarity-Based Time Series Match Approach -- TWave: High-Order Analysis of Spatiotemporal Data -- Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSO -- Session 3A. Pattern Mining -- An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns -- Valency Based Weighted Association Rule Mining -- Ranking Sequential Patterns with Respect to Significance -- Mining Association Rules in Long Sequences -- Mining Closed Episodes from Event Sequences Efficiently -- Most Significant Substring Mining Based on Chi-square Measure -- Session 3B. Recommendations/Answers -- Probabilistic User Modeling in the Presence of Drifting Concepts -- Using Association Rules to Solve the Cold-Start Problem in Recommender Systems -- Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems -- Cost-Sensitive Listwise Ranking Approach -- Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QA -- Answer Diversification for Complex Question Answering on the Web -- Vocabulary Filtering for Term Weighting in Archived Question Search -- Session 3C. Topic Modeling/Information Extraction -- On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations -- Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression -- Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand -- Efficient Deep Web Crawling Using Reinforcement Learning -- Topic Decomposition and Summarization -- Session 4A. Skylines/Uncertainty -- UNN: A Neural Network for Uncertain Data Classification -- SkyDist: Data Mining on Skyline Objects -- Multi-Source Skyline Queries Processing in Multi-Dimensional Space -- Efficient Pattern Mining of Uncertain Data with Sampling -- Classifier Ensemble for Uncertain Data Stream Classification. |
| Record Nr. | UNISA-996465925603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining, Part II [[electronic resource] ] : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010, Proceedings / / edited by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi
| Advances in Knowledge Discovery and Data Mining, Part II [[electronic resource] ] : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010, Proceedings / / edited by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (520 p. 161 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Application software Information storage and retrieval Database management Algorithms Data Mining and Knowledge Discovery Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Algorithm Analysis and Problem Complexity |
| ISBN |
1-280-38720-3
9786613565129 3-642-13672-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Session 4B. Dimensionality Reduction/Parallelism -- Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization -- Distributed Knowledge Discovery with Non Linear Dimensionality Reduction -- DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud -- An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA -- Session 5A. Novel Applications -- Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data -- Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis -- Satrap: Data and Network Heterogeneity Aware P2P Data-Mining -- Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs) -- Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure -- Session 5B. Feature Selection/Visualization -- A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K???1 -- Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face Recognition -- Learning Gradients with Gaussian Processes -- Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz -- Session 6A. Graph Mining -- Subgraph Mining on Directed and Weighted Graphs -- Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph -- A Framework for SQL-Based Mining of Large Graphs on Relational Databases -- Fast Discovery of Reliable k-terminal Subgraphs -- GTRACE2: Improving Performance Using Labeled Union Graphs -- Session 6B. Clustering II -- Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering -- Rule Synthesizing from Multiple Related Databases -- Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering -- Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures -- Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models -- Session 7A. Opinion/Sentiment Mining -- Opinion-Based Imprecise Query Answering -- Blog Opinion Retrieval Based on Topic-Opinion Mixture Model -- Feature Subsumption for Sentiment Classification in Multiple Languages -- Decentralisation of ScoreFinder: A Framework for Credibility Management on User-Generated Contents -- Classification and Pattern Discovery of Mood in Weblogs -- Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic -- Session 7B. Stream Mining -- Fast Perceptron Decision Tree Learning from Evolving Data Streams -- Classification and Novel Class Detection in Data Streams with Active Mining -- Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification -- Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach -- Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams -- Subsequence Matching of Stream Synopses under the Time Warping Distance -- Session 8A. Similarity and Kernels -- Normalized Kernels as Similarity Indices -- Adaptive Matching Based Kernels for Labelled Graphs -- A New Framework for Dissimilarity and Similarity Learning -- Semantic-Distance Based Clustering for XML Keyword Search -- Session 8B. Graph Analysis -- oddball: Spotting Anomalies in Weighted Graphs -- Robust Outlier Detection Using Commute Time and Eigenspace Embedding -- EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs -- BASSET: Scalable Gateway Finder in Large Graphs -- Session 8C. Classification II -- Ensemble Learning Based on Multi-Task Class Labels -- Supervised Learning with Minimal Effort -- Generating Diverse Ensembles to Counter the Problem of Class Imbalance -- Relationship between Diversity and Correlation in Multi-Classifier Systems -- Compact Margin Machine. |
| Record Nr. | UNISA-996465926403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Database Systems for Advanced Applications [[electronic resource] ] : 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008, Proceedings / / edited by Jayant R. Haritsa, Ramamohanarao Kotagiri, Vikram Pudi
| Database Systems for Advanced Applications [[electronic resource] ] : 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008, Proceedings / / edited by Jayant R. Haritsa, Ramamohanarao Kotagiri, Vikram Pudi |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXII, 713 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Database management Data mining Information storage and retrieval Application software Multimedia information systems Data Structures and Information Theory Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) Multimedia Information Systems |
| ISBN | 3-540-78568-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks (Abstracts) -- Storage and Index Design for Community Systems -- Self-tuning Database Systems: Past, Present and Future -- The Business of Managing Data: Implications for Research -- I: Full Papers -- Holistic Constraint-Preserving Transformation from Relational Schema into XML Schema -- An Optimized Two-Step Solution for Updating XML Views -- Even an Ant Can Create an XSD -- A User Driven Data Mining Process Model and Learning System -- Efficient Mining of Recurrent Rules from a Sequence Database -- Uniqueness Mining -- Discovering Spatial Interaction Patterns -- Topological Relationships between Map Geometries -- MBR Models for Uncertainty Regions of Moving Objects -- Summarization Graph Indexing: Beyond Frequent Structure-Based Approach -- Bulk-Loading the ND-Tree in Non-ordered Discrete Data Spaces -- An Incremental Maintenance Scheme of Data Cubes -- A Data Partition Based Near Optimal Scheduling Algorithm for Wireless Multi-channel Data Broadcast -- A Test Paradigm for Detecting Changes in Transactional Data Streams -- Teddies: Trained Eddies for Reactive Stream Processing -- Flood Little, Cache More: Effective Result-Reuse in P2P IR Systems -- Load Balancing for Moving Object Management in a P2P Network -- Serializable Executions with Snapshot Isolation: Modifying Application Code or Mixing Isolation Levels? -- SemanticTwig: A Semantic Approach to Optimize XML Query Processing -- Approximate XML Query Answers in DHT-Based P2P Networks -- Efficient Top-k Search Across Heterogeneous XML Data Sources -- Example-Based Robust DB-Outlier Detection for High Dimensional Data -- A Novel Fingerprint Matching Method by Excluding Elastic Distortion -- Approximate Clustering of Time Series Using Compact Model-Based Descriptions -- An Approach for Extracting Bilingual Terminology from Wikipedia -- Cost-Effective Web Search in Bootstrapping for Named Entity Recognition -- Learning Bayesian Network Structure from Incomplete Data without Any Assumption -- II: Short Papers -- Ranking Database Queries with User Feedback: A Neural Network Approach -- Supporting Keyword Queries on Structured Databases with Limited Search Interfaces -- Automated Data Discovery in Similarity Score Queries -- Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination -- The Chronon Based Model for Temporal Databases -- Main Memory Commit Processing: The Impact of Priorities -- Association Rules Induced by Item and Quantity Purchased -- An Indexed Trie Approach to Incremental Mining of Closed Frequent Itemsets Based on a Galois Lattice Framework -- Mining Frequent Patterns in an Arbitrary Sliding Window over Data Streams -- Index-Supported Similarity Search Using Multiple Representations -- Distance Based Feature Selection for Clustering Microarray Data -- Knowledge Transferring Via Implicit Link Analysis -- Exploiting ID References for Effective Keyword Search in XML Documents -- Storage Techniques for Multi-versioned XML Documents -- Twig’n Join: Progressive Query Processing of Multiple XML Streams -- TwigBuffer: Avoiding Useless Intermediate Solutions Completely in Twig Joins -- An Approach for XML Similarity Join Using Tree Serialization -- A Holistic Algorithm for Efficiently Evaluating Xtwig Joins -- Redundant Array of Inexpensive Nodes for DWS -- Load-Balancing for WAN Warehouses -- Enabling Privacy-Preserving e-Payment Processing -- Managing and Correlating Historical Events Using an Event Timeline Datatype -- Online Collaborative Stock Control and Selling Among E-Retailers -- Mining Automotive Warranty Claims Data for Effective Root Cause Analysis -- A Similarity Search of Trajectory Data Using Textual Information Retrieval Techniques -- Constrained k-Nearest Neighbor Query Processing over Moving Object Trajectories -- Location Update Strategies for Network-Constrained Moving Objects -- A P2P Meta-index for Spatio-temporal Moving Object Databases -- An Update Propagation Strategy Considering Access Frequency in Peer-to-Peer Networks -- Towards Automated Analysis of Connections Network in Distributed Stream Processing System -- III: Demonstrations Track -- RAIN: Always on Data Warehousing -- Data Compression for Incremental Data Cube Maintenance -- A Bilingual Dictionary Extracted from the Wikipedia Link Structure -- A Search Engine for Browsing the Wikipedia Thesaurus -- An Interactive Predictive Data Mining System for Informed Decision -- Analysis of Time Series Using Compact Model-Based Descriptions -- Collecting Data Streams from a Distributed Radio-Based Measurement System -- A Web Visualization Tool for Historical Analysis of Geo-referenced Multidimensional Data -- IV: Panel -- Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining?. |
| Record Nr. | UNISA-996465800103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Database Systems for Advanced Applications : 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008, Proceedings / / edited by Jayant R. Haritsa, Ramamohanarao Kotagiri, Vikram Pudi
| Database Systems for Advanced Applications : 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008, Proceedings / / edited by Jayant R. Haritsa, Ramamohanarao Kotagiri, Vikram Pudi |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXII, 713 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
HaritsaJayant R
RamamohanaraoKotagiri PudiVikram |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Information theory Database management Data mining Information storage and retrieval systems Application software Multimedia systems Data Structures and Information Theory Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications Multimedia Information Systems |
| ISBN | 3-540-78568-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks (Abstracts) -- Storage and Index Design for Community Systems -- Self-tuning Database Systems: Past, Present and Future -- The Business of Managing Data: Implications for Research -- I: Full Papers -- Holistic Constraint-Preserving Transformation from Relational Schema into XML Schema -- An Optimized Two-Step Solution for Updating XML Views -- Even an Ant Can Create an XSD -- A User Driven Data Mining Process Model and Learning System -- Efficient Mining of Recurrent Rules from a Sequence Database -- Uniqueness Mining -- Discovering Spatial Interaction Patterns -- Topological Relationships between Map Geometries -- MBR Models for Uncertainty Regions of Moving Objects -- Summarization Graph Indexing: Beyond Frequent Structure-Based Approach -- Bulk-Loading the ND-Tree in Non-ordered Discrete Data Spaces -- An Incremental Maintenance Scheme of Data Cubes -- A Data Partition Based Near Optimal Scheduling Algorithm for Wireless Multi-channel Data Broadcast -- A Test Paradigm for Detecting Changes in Transactional Data Streams -- Teddies: Trained Eddies for Reactive Stream Processing -- Flood Little, Cache More: Effective Result-Reuse in P2P IR Systems -- Load Balancing for Moving Object Management in a P2P Network -- Serializable Executions with Snapshot Isolation: Modifying Application Code or Mixing Isolation Levels? -- SemanticTwig: A Semantic Approach to Optimize XML Query Processing -- Approximate XML Query Answers in DHT-Based P2P Networks -- Efficient Top-k Search Across Heterogeneous XML Data Sources -- Example-Based Robust DB-Outlier Detection for High Dimensional Data -- A Novel Fingerprint Matching Method by Excluding Elastic Distortion -- Approximate Clustering of Time Series Using Compact Model-Based Descriptions -- An Approach for Extracting Bilingual Terminology from Wikipedia -- Cost-Effective Web Search in Bootstrapping for Named Entity Recognition -- Learning Bayesian Network Structure from Incomplete Data without Any Assumption -- II: Short Papers -- Ranking Database Queries with User Feedback: A Neural Network Approach -- Supporting Keyword Queries on Structured Databases with Limited Search Interfaces -- Automated Data Discovery in Similarity Score Queries -- Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination -- The Chronon Based Model for Temporal Databases -- Main Memory Commit Processing: The Impact of Priorities -- Association Rules Induced by Item and Quantity Purchased -- An Indexed Trie Approach to Incremental Mining of Closed Frequent Itemsets Based on a Galois Lattice Framework -- Mining Frequent Patterns in an Arbitrary Sliding Window over Data Streams -- Index-Supported Similarity Search Using Multiple Representations -- Distance Based Feature Selection for Clustering Microarray Data -- Knowledge Transferring Via Implicit Link Analysis -- Exploiting ID References for Effective Keyword Search in XML Documents -- Storage Techniques for Multi-versioned XML Documents -- Twig’n Join: Progressive Query Processing of Multiple XML Streams -- TwigBuffer: Avoiding Useless Intermediate Solutions Completely in Twig Joins -- An Approach for XML Similarity Join Using Tree Serialization -- A Holistic Algorithm for Efficiently Evaluating Xtwig Joins -- Redundant Array of Inexpensive Nodes for DWS -- Load-Balancing for WAN Warehouses -- Enabling Privacy-Preserving e-Payment Processing -- Managing and Correlating Historical Events Using an Event Timeline Datatype -- Online Collaborative Stock Control and Selling Among E-Retailers -- Mining Automotive Warranty Claims Data for Effective Root Cause Analysis -- A Similarity Search of TrajectoryData Using Textual Information Retrieval Techniques -- Constrained k-Nearest Neighbor Query Processing over Moving Object Trajectories -- Location Update Strategies for Network-Constrained Moving Objects -- A P2P Meta-index for Spatio-temporal Moving Object Databases -- An Update Propagation Strategy Considering Access Frequency in Peer-to-Peer Networks -- Towards Automated Analysis of Connections Network in Distributed Stream Processing System -- III: Demonstrations Track -- RAIN: Always on Data Warehousing -- Data Compression for Incremental Data Cube Maintenance -- A Bilingual Dictionary Extracted from the Wikipedia Link Structure -- A Search Engine for Browsing the Wikipedia Thesaurus -- An Interactive Predictive Data Mining System for Informed Decision -- Analysis of Time Series Using Compact Model-Based Descriptions -- Collecting Data Streams from a Distributed Radio-Based Measurement System -- A Web Visualization Tool for Historical Analysis of Geo-referenced Multidimensional Data -- IV: Panel -- Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining?. |
| Record Nr. | UNINA-9910484187903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||