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.

Biblioteca

MARC Lista (tabellare)
Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XIII, 418 p.)
Disciplina 006.31222gerDNB
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Computers
Information storage and retrieval
Data mining
Pattern recognition
Data structures (Computer science)
Information technology
Business—Data processing
Theory of Computation
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Pattern Recognition
Data Structures
IT in Business
Soggetto genere / forma Kongress.
Lyon (2008)
ISBN 3-642-03915-4
Classificazione DAT 703f
MAT 620f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees.
Record Nr. UNISA-996465760203316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XIII, 418 p.)
Disciplina 006.31222gerDNB
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Computers
Information storage and retrieval
Data mining
Pattern recognition
Data structures (Computer science)
Information technology
Business—Data processing
Theory of Computation
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Pattern Recognition
Data Structures
IT in Business
Soggetto genere / forma Kongress.
Lyon (2008)
ISBN 3-642-03915-4
Classificazione DAT 703f
MAT 620f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees.
Record Nr. UNINA-9910483134103321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Constraint-Based Mining and Inductive Databases [[electronic resource] ] : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers / / edited by Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila
Constraint-Based Mining and Inductive Databases [[electronic resource] ] : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers / / edited by Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (X, 404 p.)
Disciplina 005.74
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Database management
Information storage and retrieval
Pattern recognition
Artificial Intelligence
Computation by Abstract Devices
Database Management
Information Storage and Retrieval
Pattern Recognition
ISBN 3-540-31351-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery -- A Relational Query Primitive for Constraint-Based Pattern Mining -- To See the Wood for the Trees: Mining Frequent Tree Patterns -- A Survey on Condensed Representations for Frequent Sets -- Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases -- Computation of Mining Queries: An Algebraic Approach -- Inductive Queries on Polynomial Equations -- Mining Constrained Graphs: The Case of Workflow Systems -- CrossMine: Efficient Classification Across Multiple Database Relations -- Remarks on the Industrial Application of Inductive Database Technologies -- How to Quickly Find a Witness -- Relevancy in Constraint-Based Subgroup Discovery -- A Novel Incremental Approach to Association Rules Mining in Inductive Databases -- Employing Inductive Databases in Concrete Applications -- Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining -- Boolean Formulas and Frequent Sets -- Generic Pattern Mining Via Data Mining Template Library -- Inductive Querying for Discovering Subgroups and Clusters.
Record Nr. UNISA-996466097903316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Constraint-Based Mining and Inductive Databases [[electronic resource] ] : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers / / edited by Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila
Constraint-Based Mining and Inductive Databases [[electronic resource] ] : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers / / edited by Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (X, 404 p.)
Disciplina 005.74
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Database management
Information storage and retrieval
Pattern recognition
Artificial Intelligence
Computation by Abstract Devices
Database Management
Information Storage and Retrieval
Pattern Recognition
ISBN 3-540-31351-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery -- A Relational Query Primitive for Constraint-Based Pattern Mining -- To See the Wood for the Trees: Mining Frequent Tree Patterns -- A Survey on Condensed Representations for Frequent Sets -- Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases -- Computation of Mining Queries: An Algebraic Approach -- Inductive Queries on Polynomial Equations -- Mining Constrained Graphs: The Case of Workflow Systems -- CrossMine: Efficient Classification Across Multiple Database Relations -- Remarks on the Industrial Application of Inductive Database Technologies -- How to Quickly Find a Witness -- Relevancy in Constraint-Based Subgroup Discovery -- A Novel Incremental Approach to Association Rules Mining in Inductive Databases -- Employing Inductive Databases in Concrete Applications -- Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining -- Boolean Formulas and Frequent Sets -- Generic Pattern Mining Via Data Mining Template Library -- Inductive Querying for Discovering Subgroups and Clusters.
Record Nr. UNINA-9910484838003321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Discovery Science [[electronic resource] ] : 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008, Proceedings / / edited by Jean-Francois Boulicaut, Michael R. Berthold, Tamás Horváth
Discovery Science [[electronic resource] ] : 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008, Proceedings / / edited by Jean-Francois Boulicaut, Michael R. Berthold, Tamás Horváth
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Descrizione fisica 1 online resource (XII, 348 p. 96 illus.)
Disciplina 501
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Database management
Information storage and retrieval
Application software
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Computer Appl. in Administrative Data Processing
Computer Appl. in Social and Behavioral Sciences
ISBN 3-540-88411-4
Classificazione 54.72
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- On Iterative Algorithms with an Information Geometry Background -- Visual Analytics: Combining Automated Discovery with Interactive Visualizations -- Some Mathematics Behind Graph Property Testing -- Finding Total and Partial Orders from Data for Seriation -- Computational Models of Neural Representations in the Human Brain -- Learning -- Unsupervised Classifier Selection Based on Two-Sample Test -- An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics -- Learning Model Trees from Data Streams -- Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees -- Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees -- A Comparison between Neural Network Methods for Learning Aggregate Functions -- Feature Selection -- Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns -- Feature Selection in Taxonomies with Applications to Paleontology -- Associations -- Deduction Schemes for Association Rules -- Constructing Iceberg Lattices from Frequent Closures Using Generators -- Discovery Processes -- Learning from Each Other -- Comparative Evaluation of Two Systems for the Visual Navigation of Encyclopedia Knowledge Spaces -- A Framework for Knowledge Discovery in a Society of Agents -- Learning and Chemistry -- Active Learning for High Throughput Screening -- An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules -- Mining Intervals of Graphs to Extract Characteristic Reaction Patterns -- Clustering -- Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations -- Input Noise Robustness and Sensitivity Analysis to Improve Large Datasets Clustering by Using the GRID -- An Integrated Graph and Probability Based Clustering Framework for Sequential Data -- Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization -- Structured Data -- Mining Unordered Distance-Constrained Embedded Subtrees -- Finding Frequent Patterns from Compressed Tree-Structured Data -- A Modeling Approach Using Multiple Graphs for Semi-Supervised Learning -- Text Analysis -- String Kernels Based on Variable-Length-Don’t-Care Patterns -- Unsupervised Spam Detection by Document Complexity Estimation -- A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation.
Record Nr. UNINA-9910484330703321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Discovery Science [[electronic resource] ] : 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008, Proceedings / / edited by Jean-Francois Boulicaut, Michael R. Berthold, Tamás Horváth
Discovery Science [[electronic resource] ] : 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008, Proceedings / / edited by Jean-Francois Boulicaut, Michael R. Berthold, Tamás Horváth
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Descrizione fisica 1 online resource (XII, 348 p. 96 illus.)
Disciplina 501
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Database management
Information storage and retrieval
Application software
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Computer Appl. in Administrative Data Processing
Computer Appl. in Social and Behavioral Sciences
ISBN 3-540-88411-4
Classificazione 54.72
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- On Iterative Algorithms with an Information Geometry Background -- Visual Analytics: Combining Automated Discovery with Interactive Visualizations -- Some Mathematics Behind Graph Property Testing -- Finding Total and Partial Orders from Data for Seriation -- Computational Models of Neural Representations in the Human Brain -- Learning -- Unsupervised Classifier Selection Based on Two-Sample Test -- An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics -- Learning Model Trees from Data Streams -- Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees -- Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees -- A Comparison between Neural Network Methods for Learning Aggregate Functions -- Feature Selection -- Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns -- Feature Selection in Taxonomies with Applications to Paleontology -- Associations -- Deduction Schemes for Association Rules -- Constructing Iceberg Lattices from Frequent Closures Using Generators -- Discovery Processes -- Learning from Each Other -- Comparative Evaluation of Two Systems for the Visual Navigation of Encyclopedia Knowledge Spaces -- A Framework for Knowledge Discovery in a Society of Agents -- Learning and Chemistry -- Active Learning for High Throughput Screening -- An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules -- Mining Intervals of Graphs to Extract Characteristic Reaction Patterns -- Clustering -- Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations -- Input Noise Robustness and Sensitivity Analysis to Improve Large Datasets Clustering by Using the GRID -- An Integrated Graph and Probability Based Clustering Framework for Sequential Data -- Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization -- Structured Data -- Mining Unordered Distance-Constrained Embedded Subtrees -- Finding Frequent Patterns from Compressed Tree-Structured Data -- A Modeling Approach Using Multiple Graphs for Semi-Supervised Learning -- Text Analysis -- String Kernels Based on Variable-Length-Don’t-Care Patterns -- Unsupervised Spam Detection by Document Complexity Estimation -- A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation.
Record Nr. UNISA-996466127703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Discovery in Databases: PKDD 2004 [[electronic resource] ] : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
Knowledge Discovery in Databases: PKDD 2004 [[electronic resource] ] : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (XIX, 562 p.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data structures (Computer science)
Database management
Information storage and retrieval
Mathematical statistics
Natural language processing (Computer science)
Artificial Intelligence
Data Structures and Information Theory
Database Management
Information Storage and Retrieval
Probability and Statistics in Computer Science
Natural Language Processing (NLP)
ISBN 3-540-30116-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Random Matrices in Data Analysis -- Data Privacy -- Breaking Through the Syntax Barrier: Searching with Entities and Relations -- Real-World Learning with Markov Logic Networks -- Strength in Diversity: The Advance of Data Analysis -- Contributed Papers -- Mining Positive and Negative Association Rules: An Approach for Confined Rules -- An Experiment on Knowledge Discovery in Chemical Databases -- Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering -- Combining Multiple Clustering Systems -- Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms -- A Framework for Data Mining Pattern Management -- Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach -- AutoPart: Parameter-Free Graph Partitioning and Outlier Detection -- Properties and Benefits of Calibrated Classifiers -- A Tree-Based Approach to Clustering XML Documents by Structure -- Discovery of Regulatory Connections in Microarray Data -- Learning from Little: Comparison of Classifiers Given Little Training -- Geometric and Combinatorial Tiles in 0–1 Data -- Document Classification Through Interactive Supervision of Document and Term Labels -- Classifying Protein Fingerprints -- Finding Interesting Pass Patterns from Soccer Game Records -- Discovering Unexpected Information for Technology Watch -- Scalable Density-Based Distributed Clustering -- Summarization of Dynamic Content in Web Collections -- Mining Thick Skylines over Large Databases -- Ensemble Feature Ranking -- Privately Computing a Distributed k-nn Classifier -- Incremental Nonlinear PCA for Classification -- A Spectroscopy of Texts for Effective Clustering -- Constraint-Based Mining of Episode Rules and Optimal Window Sizes -- Analysing Customer Churn in Insurance Data – A Case Study -- Nomograms for Visualization of Naive Bayesian Classifier -- Using a Hash-Based Method for Apriori-Based Graph Mining -- Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis -- Classification in Geographical Information Systems -- Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach -- Itemset Classified Clustering -- Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering -- Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining -- A Quantification of Cluster Novelty with an Application to Martian Topography -- Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators -- Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge -- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources -- A New Scheme on Privacy Preserving Association Rule Mining -- Posters -- A Unified and Flexible Framework for Comparing Simple and Complex Patterns -- Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data -- Learning from Multi-source Data -- The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- COCOA: Compressed Continuity Analysis for Temporal Databases -- Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method -- A Tolerance Rough Set Approach to Clustering Web Search Results -- Improving the Performance of the RISE Algorithm -- Mining History of Changes to Web Access Patterns -- Demonstration Papers -- Visual Mining of Spatial Time Series Data -- Detecting Driving Awareness -- An Effective Recommender System for Highly Dynamic and Large Web Sites -- SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections -- Orange: From Experimental Machine Learning to Interactive Data Mining -- Terrorist Detection System -- Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels -- Balios – The Engine for Bayesian Logic Programs -- SEWeP: A Web Mining System Supporting Semantic Personalization -- SPIN! Data Mining System Based on Component Architecture.
Record Nr. UNINA-9910144348603321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Discovery in Databases: PKDD 2004 [[electronic resource] ] : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
Knowledge Discovery in Databases: PKDD 2004 [[electronic resource] ] : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (XIX, 562 p.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data structures (Computer science)
Database management
Information storage and retrieval
Mathematical statistics
Natural language processing (Computer science)
Artificial Intelligence
Data Structures and Information Theory
Database Management
Information Storage and Retrieval
Probability and Statistics in Computer Science
Natural Language Processing (NLP)
ISBN 3-540-30116-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Random Matrices in Data Analysis -- Data Privacy -- Breaking Through the Syntax Barrier: Searching with Entities and Relations -- Real-World Learning with Markov Logic Networks -- Strength in Diversity: The Advance of Data Analysis -- Contributed Papers -- Mining Positive and Negative Association Rules: An Approach for Confined Rules -- An Experiment on Knowledge Discovery in Chemical Databases -- Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering -- Combining Multiple Clustering Systems -- Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms -- A Framework for Data Mining Pattern Management -- Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach -- AutoPart: Parameter-Free Graph Partitioning and Outlier Detection -- Properties and Benefits of Calibrated Classifiers -- A Tree-Based Approach to Clustering XML Documents by Structure -- Discovery of Regulatory Connections in Microarray Data -- Learning from Little: Comparison of Classifiers Given Little Training -- Geometric and Combinatorial Tiles in 0–1 Data -- Document Classification Through Interactive Supervision of Document and Term Labels -- Classifying Protein Fingerprints -- Finding Interesting Pass Patterns from Soccer Game Records -- Discovering Unexpected Information for Technology Watch -- Scalable Density-Based Distributed Clustering -- Summarization of Dynamic Content in Web Collections -- Mining Thick Skylines over Large Databases -- Ensemble Feature Ranking -- Privately Computing a Distributed k-nn Classifier -- Incremental Nonlinear PCA for Classification -- A Spectroscopy of Texts for Effective Clustering -- Constraint-Based Mining of Episode Rules and Optimal Window Sizes -- Analysing Customer Churn in Insurance Data – A Case Study -- Nomograms for Visualization of Naive Bayesian Classifier -- Using a Hash-Based Method for Apriori-Based Graph Mining -- Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis -- Classification in Geographical Information Systems -- Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach -- Itemset Classified Clustering -- Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering -- Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining -- A Quantification of Cluster Novelty with an Application to Martian Topography -- Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators -- Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge -- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources -- A New Scheme on Privacy Preserving Association Rule Mining -- Posters -- A Unified and Flexible Framework for Comparing Simple and Complex Patterns -- Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data -- Learning from Multi-source Data -- The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- COCOA: Compressed Continuity Analysis for Temporal Databases -- Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method -- A Tolerance Rough Set Approach to Clustering Web Search Results -- Improving the Performance of the RISE Algorithm -- Mining History of Changes to Web Access Patterns -- Demonstration Papers -- Visual Mining of Spatial Time Series Data -- Detecting Driving Awareness -- An Effective Recommender System for Highly Dynamic and Large Web Sites -- SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections -- Orange: From Experimental Machine Learning to Interactive Data Mining -- Terrorist Detection System -- Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels -- Balios – The Engine for Bayesian Logic Programs -- SEWeP: A Web Mining System Supporting Semantic Personalization -- SPIN! Data Mining System Based on Component Architecture.
Record Nr. UNISA-996465661603316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Discovery in Inductive Databases [[electronic resource] ] : 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers / / edited by Francesco Bonchi, Jean-Francois Boulicaut
Knowledge Discovery in Inductive Databases [[electronic resource] ] : 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers / / edited by Francesco Bonchi, Jean-Francois Boulicaut
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (VIII, 252 p.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data structures (Computer science)
Database management
Artificial intelligence
Data Structures and Information Theory
Database Management
Artificial Intelligence
ISBN 3-540-33293-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Data Mining in Inductive Databases -- Mining Databases and Data Streams with Query Languages and Rules -- Contributed Papers -- Memory-Aware Frequent k-Itemset Mining -- Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data -- Experiment Databases: A Novel Methodology for Experimental Research -- Quick Inclusion-Exclusion -- Towards Mining Frequent Queries in Star Schemes -- Inductive Databases in the Relational Model: The Data as the Bridge -- Transaction Databases, Frequent Itemsets, and Their Condensed Representations -- Multi-class Correlated Pattern Mining -- Shaping SQL-Based Frequent Pattern Mining Algorithms -- Exploiting Virtual Patterns for Automatically Pruning the Search Space -- Constraint Based Induction of Multi-objective Regression Trees -- Learning Predictive Clustering Rules.
Record Nr. UNISA-996466100803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Discovery in Inductive Databases [[electronic resource] ] : 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers / / edited by Francesco Bonchi, Jean-Francois Boulicaut
Knowledge Discovery in Inductive Databases [[electronic resource] ] : 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers / / edited by Francesco Bonchi, Jean-Francois Boulicaut
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (VIII, 252 p.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data structures (Computer science)
Database management
Artificial intelligence
Data Structures and Information Theory
Database Management
Artificial Intelligence
ISBN 3-540-33293-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Data Mining in Inductive Databases -- Mining Databases and Data Streams with Query Languages and Rules -- Contributed Papers -- Memory-Aware Frequent k-Itemset Mining -- Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data -- Experiment Databases: A Novel Methodology for Experimental Research -- Quick Inclusion-Exclusion -- Towards Mining Frequent Queries in Star Schemes -- Inductive Databases in the Relational Model: The Data as the Bridge -- Transaction Databases, Frequent Itemsets, and Their Condensed Representations -- Multi-class Correlated Pattern Mining -- Shaping SQL-Based Frequent Pattern Mining Algorithms -- Exploiting Virtual Patterns for Automatically Pruning the Search Space -- Constraint Based Induction of Multi-objective Regression Trees -- Learning Predictive Clustering Rules.
Record Nr. UNINA-9910484571103321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui