06414nam 22008055 450 991014390610332120200704161213.03-540-45681-310.1007/3-540-45681-3(CKB)1000000000211752(SSID)ssj0000325836(PQKBManifestationID)11264621(PQKBTitleCode)TC0000325836(PQKBWorkID)10264732(PQKB)10441942(DE-He213)978-3-540-45681-0(MiAaPQ)EBC3071606(PPN)15516709X(EXLCZ)99100000000021175220121227d2002 u| 0engurnn#008mamaatxtccrPrinciples 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 Toivonen1st ed. 2002.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2002.1 online resource (XIV, 514 p.)Lecture Notes in Artificial Intelligence ;2431Bibliographic Level Mode of Issuance: Monograph3-540-44037-2 Includes bibliographical references and index.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.Lecture Notes in Artificial Intelligence ;2431Database managementArtificial intelligenceLogic, Symbolic and mathematicalMathematical statisticsNatural language processing (Computer science)Information storage and retrievalDatabase Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Natural Language Processing (NLP)https://scigraph.springernature.com/ontologies/product-market-codes/I21040Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Database management.Artificial intelligence.Logic, Symbolic and mathematical.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.006.3Elomaa Tapioedthttp://id.loc.gov/vocabulary/relators/edtMannila Heikkiedthttp://id.loc.gov/vocabulary/relators/edtToivonen Hannuedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910143906103321Principles of data mining and knowledge discovery415802UNINA