06412nam 22008055 450 99646621980331620200704161213.03-540-45681-310.1007/3-540-45681-3(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[electronic resource] 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 intelligenceMathematical logicMathematical 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.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.006.3Elomaa Tapioedthttp://id.loc.gov/vocabulary/relators/edtMannila Heikkiedthttp://id.loc.gov/vocabulary/relators/edtToivonen Hannuedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466219803316Principles of data mining and knowledge discovery415802UNISA