Algorithms and Applications [[electronic resource] ] : Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday / / edited by Tapio Elomaa, Heikki Mannila, Pekka Orponen |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (X, 261 p. 65 illus.) |
Disciplina | 006.4 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Pattern recognition systems
Artificial intelligence Algorithms Application software Data mining User interfaces (Computer systems) Human-computer interaction Automated Pattern Recognition Artificial Intelligence Computer and Information Systems Applications Data Mining and Knowledge Discovery User Interfaces and Human Computer Interaction |
ISBN |
1-280-38626-6
9786613564184 3-642-12476-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | String Rearrangement Metrics: A Survey -- Maximal Words in Sequence Comparisons Based on Subword Composition -- Fast Intersection Algorithms for Sorted Sequences -- Indexing and Searching a Mass Spectrometry Database -- Extended Compact Web Graph Representations -- A Parallel Algorithm for Fixed-Length Approximate String-Matching with k-mismatches -- Covering Analysis of the Greedy Algorithm for Partial Cover -- From Nondeterministic Suffix Automaton to Lazy Suffix Tree -- Clustering the Normalized Compression Distance for Influenza Virus Data -- An Evolutionary Model of DNA Substring Distribution -- Indexing a Dictionary for Subset Matching Queries -- Transposition and Time-Scale Invariant Geometric Music Retrieval -- Unified View of Backward Backtracking in Short Read Mapping -- Some Applications of String Algorithms in Human-Computer Interaction -- Approximate String Matching with Reduced Alphabet -- ICT4D: A Computer Science Perspective -- Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles -- The Support Vector Tree. |
Record Nr. | UNISA-996465297403316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Discovery Science [[electronic resource] ] : 14th International Conference, DS 2011, Espoo, Finland, October 5-7, Proceedings / / edited by Tapio Elomaa, Jaakko Hollmen, Heikki Mannila |
Edizione | [1st ed. 2011.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Descrizione fisica | 1 online resource (XIII, 381 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Information storage and retrieval Application software Database management Data mining Algorithms Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity |
ISBN | 3-642-24477-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466070403316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Foundations of intelligent systems : 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings / / Jan Rauch, Zbigniew W., Petr Berka, Tapio Elomaa (eds.) |
Autore | Rauch Jan |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, 2009 |
Descrizione fisica | 1 online resource (XVI, 624 p.) |
Disciplina | 006.3 |
Altri autori (Persone) |
ElomaaTapio
Zbigniew W BerkaPetr |
Collana | Lecture notes in computer science |
Soggetto topico |
Expert systems (Computer science)
Intelligent control systems |
ISBN | 3-642-04125-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Papers -- Randomization Methods for Assessing the Significance of Data Mining Results -- Dealing with Music in Intelligent Ways -- Intelligent Systems: From R.U.R. to ISMIS 2009 and beyond -- The Art of Management and the Technology of Knowledge-Based Systems -- Knowledge Discovery and Data Mining -- Frequent Itemset Mining in Multirelational Databases -- A Multiple Scanning Strategy for Entropy Based Discretization -- Fast Subgroup Discovery for Continuous Target Concepts -- Discovering Emerging Graph Patterns from Chemicals -- Visualization of Trends Using RadViz -- Action Rules Discovery Based on Tree Classifiers and Meta-actions -- Action Rules and the GUHA Method: Preliminary Considerations and Results -- Semantic Analytical Reports: A Framework for Post-processing Data Mining Results -- Applications of Intelligent Systems in Medicine -- Medical Decision Making through Fuzzy Computational Intelligent Approaches -- Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections -- A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines -- RaJoLink: A Method for Finding Seeds of Future Discoveries in Nowadays Literature -- Logical and Theoretical Aspects of Intelligent Systems -- Automatic Generation of P2P Mappings between Sources Schemas -- An OWL Ontology for Fuzzy OWL 2 -- Fuzzy Clustering for Categorical Spaces -- Reasoning about Relations with Dependent Types: Application to Context-Aware Applications -- Quasi-Classical Model Semantics for Logic Programs – A Paraconsistent Approach -- Prime Implicates and Reduced Implicate Tries -- Logic for Reasoning about Components of Persuasive Actions -- A Hybrid Method of Indexing Multiple-Inheritance Hierarchies -- Text Mining -- Theme Extraction from Chinese Web Documents Based on Page Segmentation and Entropy -- Topic-Based Hard Clustering of Documents Using Generative Models -- Boosting a Semantic Search Engine by Named Entities -- Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression -- Applications of Intelligent Systems in Music -- Detecting Emotions in Classical Music from MIDI Files -- Mining Musical Patterns: Identification of Transposed Motives -- Musical Instruments in Random Forest -- Application of Analysis of Variance to Assessment of Influence of Sound Feature Groups on Discrimination between Musical Instruments -- Information Processing -- Alternative Formulas for Rating Prediction Using Collaborative Filtering -- On Three Classes of Division Queries Involving Ordinal Preferences -- Analyses of Knowledge Creation Processes Based on Different Types of Monitored Data -- Intelligent Information Processing in Semantically Enriched Web -- Agents -- Modeling Ant Activity by Means of Structured HMMs -- Modern Approach for Building of Multi-Agent Systems -- Relational Sequence Clustering for Aggregating Similar Agents -- FutureTrust Algorithm in Specific Factors on Mobile Agents -- Machine Learning -- Ensembles of Abstaining Classifiers Based on Rule Sets -- Elicitation of Sugeno Integrals: A Version Space Learning Perspective -- Efficient MAP Inference for Statistical Relational Models through Hybrid Metaheuristics -- Combining Time and Space Similarity for Small Size Learning under Concept Drift -- Similarity and Kernel Matrix Evaluation Based on Spatial Autocorrelation Analysis -- Applications of Intelligent Systems -- Job Offer Management: How Improve the Ranking of Candidates -- Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining -- GIS-FLSolution: A Spatial Analysis Platform for Static and Transportation Facility Location Allocation Problem -- A CBR System for Knowing the Relationship between Flexibility and Operations Strategy -- Semantic-Based Top-k Retrieval for Competence Management -- A New Strategy Based on GRASP to Solve a Macro Mine Planning -- Food Wholesales Prediction: What Is Your Baseline? -- Complex Data -- A Distributed Immunization Strategy Based on Autonomy-Oriented Computing -- Discovering Relevant Cross-Graph Cliques in Dynamic Networks -- Statistical Characterization of a Computer Grid -- On Social Networks Reduction -- Networks Consolidation through Soft Computing -- Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels -- Novelty Detection from Evolving Complex Data Streams with Time Windows -- General AI -- On Computational Creativity, ‘Inventing’ Theorem Proofs -- Revisiting Constraint Models for Planning Problems -- Uncertainty -- Interval-Valued Fuzzy Formal Concept Analysis -- Application of Meta Sets to Character Recognition -- A General Framework for Revising Belief Bases Using Qualitative Jeffrey’s Rule. |
Record Nr. | UNINA-9910484924203321 |
Rauch Jan
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Berlin ; ; Heidelberg, : Springer-Verlag, 2009 | ||
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Lo trovi qui: Univ. Federico II | ||
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Foundations of Intelligent Systems [[electronic resource] ] : 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009, Proceedings / / edited by Jan Rauch, Zbigniew W. Ras, Petr Berka, Tapio Elomaa |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (XVI, 624 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Data mining Information storage and retrieval Application software Database management User interfaces (Computer systems) Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management User Interfaces and Human Computer Interaction |
ISBN | 3-642-04125-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Papers -- Randomization Methods for Assessing the Significance of Data Mining Results -- Dealing with Music in Intelligent Ways -- Intelligent Systems: From R.U.R. to ISMIS 2009 and beyond -- The Art of Management and the Technology of Knowledge-Based Systems -- Knowledge Discovery and Data Mining -- Frequent Itemset Mining in Multirelational Databases -- A Multiple Scanning Strategy for Entropy Based Discretization -- Fast Subgroup Discovery for Continuous Target Concepts -- Discovering Emerging Graph Patterns from Chemicals -- Visualization of Trends Using RadViz -- Action Rules Discovery Based on Tree Classifiers and Meta-actions -- Action Rules and the GUHA Method: Preliminary Considerations and Results -- Semantic Analytical Reports: A Framework for Post-processing Data Mining Results -- Applications of Intelligent Systems in Medicine -- Medical Decision Making through Fuzzy Computational Intelligent Approaches -- Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections -- A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines -- RaJoLink: A Method for Finding Seeds of Future Discoveries in Nowadays Literature -- Logical and Theoretical Aspects of Intelligent Systems -- Automatic Generation of P2P Mappings between Sources Schemas -- An OWL Ontology for Fuzzy OWL 2 -- Fuzzy Clustering for Categorical Spaces -- Reasoning about Relations with Dependent Types: Application to Context-Aware Applications -- Quasi-Classical Model Semantics for Logic Programs – A Paraconsistent Approach -- Prime Implicates and Reduced Implicate Tries -- Logic for Reasoning about Components of Persuasive Actions -- A Hybrid Method of Indexing Multiple-Inheritance Hierarchies -- Text Mining -- Theme Extraction from Chinese Web Documents Based on Page Segmentation and Entropy -- Topic-Based Hard Clustering of Documents Using Generative Models -- Boosting a Semantic Search Engine by Named Entities -- Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression -- Applications of Intelligent Systems in Music -- Detecting Emotions in Classical Music from MIDI Files -- Mining Musical Patterns: Identification of Transposed Motives -- Musical Instruments in Random Forest -- Application of Analysis of Variance to Assessment of Influence of Sound Feature Groups on Discrimination between Musical Instruments -- Information Processing -- Alternative Formulas for Rating Prediction Using Collaborative Filtering -- On Three Classes of Division Queries Involving Ordinal Preferences -- Analyses of Knowledge Creation Processes Based on Different Types of Monitored Data -- Intelligent Information Processing in Semantically Enriched Web -- Agents -- Modeling Ant Activity by Means of Structured HMMs -- Modern Approach for Building of Multi-Agent Systems -- Relational Sequence Clustering for Aggregating Similar Agents -- FutureTrust Algorithm in Specific Factors on Mobile Agents -- Machine Learning -- Ensembles of Abstaining Classifiers Based on Rule Sets -- Elicitation of Sugeno Integrals: A Version Space Learning Perspective -- Efficient MAP Inference for Statistical Relational Models through Hybrid Metaheuristics -- Combining Time and Space Similarity for Small Size Learning under Concept Drift -- Similarity and Kernel Matrix Evaluation Based on Spatial Autocorrelation Analysis -- Applications of Intelligent Systems -- Job Offer Management: How Improve the Ranking of Candidates -- Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining -- GIS-FLSolution: A Spatial Analysis Platform for Static and Transportation Facility Location Allocation Problem -- A CBR System for Knowing the Relationship between Flexibility and Operations Strategy -- Semantic-Based Top-k Retrieval for Competence Management -- A New Strategy Based on GRASP to Solve a Macro Mine Planning -- Food Wholesales Prediction: What Is Your Baseline? -- Complex Data -- A Distributed Immunization Strategy Based on Autonomy-Oriented Computing -- Discovering Relevant Cross-Graph Cliques in Dynamic Networks -- Statistical Characterization of a Computer Grid -- On Social Networks Reduction -- Networks Consolidation through Soft Computing -- Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels -- Novelty Detection from Evolving Complex Data Streams with Time Windows -- General AI -- On Computational Creativity, ‘Inventing’ Theorem Proofs -- Revisiting Constraint Models for Planning Problems -- Uncertainty -- Interval-Valued Fuzzy Formal Concept Analysis -- Application of Meta Sets to Character Recognition -- A General Framework for Revising Belief Bases Using Qualitative Jeffrey’s Rule. |
Record Nr. | UNISA-996465298403316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Machine Learning: ECML 2002 [[electronic resource] ] : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings / / edited by Tapio Elomaa, Heikki Mannila, Hannu Toivonen |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
Descrizione fisica | 1 online resource (XIV, 538 p.) |
Disciplina | 006.3/1 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Algorithms Mathematical logic Artificial Intelligence Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages |
ISBN | 3-540-36755-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Contributed Papers -- Convergent Gradient Ascent in General-Sum Games -- Revising Engineering Models: Combining Computational Discovery with Knowledge -- Variational Extensions to EM and Multinomial PCA -- Learning and Inference for Clause Identification -- An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks -- Variance Optimized Bagging -- How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code -- Sparse Online Greedy Support Vector Regression -- Pairwise Classification as an Ensemble Technique -- RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood -- Using Hard Classifiers to Estimate Conditional Class Probabilities -- Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner -- Scaling Boosting by Margin-Based Inclusion of Features and Relations -- Multiclass Alternating Decision Trees -- Possibilistic Induction in Decision-Tree Learning -- Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains -- Collaborative Learning of Term-Based Concepts for Automatic Query Expansion -- Learning to Play a Highly Complex Game from Human Expert Games -- Reliable Classifications with Machine Learning -- Robustness Analyses of Instance-Based Collaborative Recommendation -- iBoost: Boosting Using an instance-Based Exponential Weighting Scheme -- Towards a Simple Clustering Criterion Based on Minimum Length Encoding -- Class Probability Estimation and Cost-Sensitive Classification Decisions -- On-Line Support Vector Machine Regression -- Q-Cut—Dynamic Discovery of Sub-goals in Reinforcement Learning -- A Multistrategy Approach to the Classification of Phases in Business Cycles -- A Robust Boosting Algorithm -- Case Exchange Strategies in Multiagent Learning -- Inductive Confidence Machines for Regression -- Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique -- Propagation of Q-values in Tabular TD(?) -- Transductive Confidence Machines for Pattern Recognition -- Characterizing Markov Decision Processes -- Phase Transitions and Stochastic Local Search in k-Term DNF Learning -- Discriminative Clustering: Optimal Contingency Tables by Learning Metrics -- Boosting Density Function Estimators -- Ranking with Predictive Clustering Trees -- Support Vector Machines for Polycategorical Classification -- Learning Classification with Both Labeled and Unlabeled Data -- An Information Geometric Perspective on Active Learning -- Stacking with an Extended Set of Meta-level Attributes and MLR -- Invited Papers -- Finding Hidden Factors Using Independent Component Analysis -- Reasoning with Classifiers -- A Kernel Approach for Learning from almost Orthogonal Patterns -- Learning with Mixture Models: Concepts and Applications. |
Record Nr. | UNISA-996466348003316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Machine Learning: ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings / / edited by Tapio Elomaa, Heikki Mannila, Hannu Toivonen |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
Descrizione fisica | 1 online resource (XIV, 538 p.) |
Disciplina | 006.3/1 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Algorithms Mathematical logic Artificial Intelligence Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages |
ISBN | 3-540-36755-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Contributed Papers -- Convergent Gradient Ascent in General-Sum Games -- Revising Engineering Models: Combining Computational Discovery with Knowledge -- Variational Extensions to EM and Multinomial PCA -- Learning and Inference for Clause Identification -- An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks -- Variance Optimized Bagging -- How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code -- Sparse Online Greedy Support Vector Regression -- Pairwise Classification as an Ensemble Technique -- RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood -- Using Hard Classifiers to Estimate Conditional Class Probabilities -- Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner -- Scaling Boosting by Margin-Based Inclusion of Features and Relations -- Multiclass Alternating Decision Trees -- Possibilistic Induction in Decision-Tree Learning -- Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains -- Collaborative Learning of Term-Based Concepts for Automatic Query Expansion -- Learning to Play a Highly Complex Game from Human Expert Games -- Reliable Classifications with Machine Learning -- Robustness Analyses of Instance-Based Collaborative Recommendation -- iBoost: Boosting Using an instance-Based Exponential Weighting Scheme -- Towards a Simple Clustering Criterion Based on Minimum Length Encoding -- Class Probability Estimation and Cost-Sensitive Classification Decisions -- On-Line Support Vector Machine Regression -- Q-Cut—Dynamic Discovery of Sub-goals in Reinforcement Learning -- A Multistrategy Approach to the Classification of Phases in Business Cycles -- A Robust Boosting Algorithm -- Case Exchange Strategies in Multiagent Learning -- Inductive Confidence Machines for Regression -- Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique -- Propagation of Q-values in Tabular TD(?) -- Transductive Confidence Machines for Pattern Recognition -- Characterizing Markov Decision Processes -- Phase Transitions and Stochastic Local Search in k-Term DNF Learning -- Discriminative Clustering: Optimal Contingency Tables by Learning Metrics -- Boosting Density Function Estimators -- Ranking with Predictive Clustering Trees -- Support Vector Machines for Polycategorical Classification -- Learning Classification with Both Labeled and Unlabeled Data -- An Information Geometric Perspective on Active Learning -- Stacking with an Extended Set of Meta-level Attributes and MLR -- Invited Papers -- Finding Hidden Factors Using Independent Component Analysis -- Reasoning with Classifiers -- A Kernel Approach for Learning from almost Orthogonal Patterns -- Learning with Mixture Models: Concepts and Applications. |
Record Nr. | UNINA-9910143874703321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
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Lo trovi qui: Univ. Federico II | ||
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Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : 6th European Conference, PKDD 2002, Helsinki, Finland, August 19–23, 2002, Proceedings / / edited by Tapio Elomaa, Heikki Mannila, Hannu Toivonen |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
Descrizione fisica | 1 online resource (XIV, 514 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Database management
Artificial intelligence Mathematical logic Mathematical statistics Natural language processing (Computer science) Information storage and retrieval Database Management Artificial Intelligence Mathematical Logic and Formal Languages Probability and Statistics in Computer Science Natural Language Processing (NLP) Information Storage and Retrieval |
ISBN | 3-540-45681-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Contributed Papers -- Optimized Substructure Discovery for Semi-structured Data -- Fast Outlier Detection in High Dimensional Spaces -- Data Mining in Schizophrenia Research — Preliminary Analysis -- Fast Algorithms for Mining Emerging Patterns -- On the Discovery of Weak Periodicities in Large Time Series -- The Need for Low Bias Algorithms in Classification Learning from Large Data Sets -- Mining All Non-derivable Frequent Itemsets -- Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance -- Finding Association Rules with Some Very Frequent Attributes -- Unsupervised Learning: Self-aggregation in Scaled Principal Component Space* -- A Classification Approach for Prediction of Target Events in Temporal Sequences -- Privacy-Oriented Data Mining by Proof Checking -- Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification -- Generating Actionable Knowledge by Expert-Guided Subgroup Discovery -- Clustering Transactional Data -- Multiscale Comparison of Temporal Patterns in Time-Series Medical Databases -- Association Rules for Expressing Gradual Dependencies -- Support Approximations Using Bonferroni-Type Inequalities -- Using Condensed Representations for Interactive Association Rule Mining -- Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting -- Dependency Detection in MobiMine and Random Matrices -- Long-Term Learning for Web Search Engines -- Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database -- Involving Aggregate Functions in Multi-relational Search -- Information Extraction in Structured Documents Using Tree Automata Induction -- Algebraic Techniques for Analysis of Large Discrete-Valued Datasets -- Geography of Di.erences between Two Classes of Data -- Rule Induction for Classification of Gene Expression Array Data -- Clustering Ontology-Based Metadata in the Semantic Web -- Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases -- SVM Classification Using Sequences of Phonemes and Syllables -- A Novel Web Text Mining Method Using the Discrete Cosine Transform -- A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases -- Answering the Most Correlated N Association Rules Efficiently -- Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model -- Efficiently Mining Approximate Models of Associations in Evolving Databases -- Explaining Predictions from a Neural Network Ensemble One at a Time -- Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD -- Separability Index in Supervised Learning -- Invited Papers -- Finding Hidden Factors Using Independent Component Analysis -- Reasoning with Classifiers* -- A Kernel Approach for Learning from Almost Orthogonal Patterns -- Learning with Mixture Models: Concepts and Applications. |
Record Nr. | UNISA-996466219803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Principles of Data Mining and Knowledge Discovery : 6th European Conference, PKDD 2002, Helsinki, Finland, August 19–23, 2002, Proceedings / / edited by Tapio Elomaa, Heikki Mannila, Hannu Toivonen |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
Descrizione fisica | 1 online resource (XIV, 514 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Database management
Artificial intelligence Mathematical logic Mathematical statistics Natural language processing (Computer science) Information storage and retrieval Database Management Artificial Intelligence Mathematical Logic and Formal Languages Probability and Statistics in Computer Science Natural Language Processing (NLP) Information Storage and Retrieval |
ISBN | 3-540-45681-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Contributed Papers -- Optimized Substructure Discovery for Semi-structured Data -- Fast Outlier Detection in High Dimensional Spaces -- Data Mining in Schizophrenia Research — Preliminary Analysis -- Fast Algorithms for Mining Emerging Patterns -- On the Discovery of Weak Periodicities in Large Time Series -- The Need for Low Bias Algorithms in Classification Learning from Large Data Sets -- Mining All Non-derivable Frequent Itemsets -- Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance -- Finding Association Rules with Some Very Frequent Attributes -- Unsupervised Learning: Self-aggregation in Scaled Principal Component Space* -- A Classification Approach for Prediction of Target Events in Temporal Sequences -- Privacy-Oriented Data Mining by Proof Checking -- Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification -- Generating Actionable Knowledge by Expert-Guided Subgroup Discovery -- Clustering Transactional Data -- Multiscale Comparison of Temporal Patterns in Time-Series Medical Databases -- Association Rules for Expressing Gradual Dependencies -- Support Approximations Using Bonferroni-Type Inequalities -- Using Condensed Representations for Interactive Association Rule Mining -- Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting -- Dependency Detection in MobiMine and Random Matrices -- Long-Term Learning for Web Search Engines -- Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database -- Involving Aggregate Functions in Multi-relational Search -- Information Extraction in Structured Documents Using Tree Automata Induction -- Algebraic Techniques for Analysis of Large Discrete-Valued Datasets -- Geography of Di.erences between Two Classes of Data -- Rule Induction for Classification of Gene Expression Array Data -- Clustering Ontology-Based Metadata in the Semantic Web -- Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases -- SVM Classification Using Sequences of Phonemes and Syllables -- A Novel Web Text Mining Method Using the Discrete Cosine Transform -- A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases -- Answering the Most Correlated N Association Rules Efficiently -- Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model -- Efficiently Mining Approximate Models of Associations in Evolving Databases -- Explaining Predictions from a Neural Network Ensemble One at a Time -- Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD -- Separability Index in Supervised Learning -- Invited Papers -- Finding Hidden Factors Using Independent Component Analysis -- Reasoning with Classifiers* -- A Kernel Approach for Learning from Almost Orthogonal Patterns -- Learning with Mixture Models: Concepts and Applications. |
Record Nr. | UNINA-9910143906103321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
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Lo trovi qui: Univ. Federico II | ||
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