06722nam 22008415 450 99646619510331620200706204116.03-540-36182-010.1007/3-540-36182-0(CKB)3400000000100277(SSID)ssj0000322657(PQKBManifestationID)11233035(PQKBTitleCode)TC0000322657(PQKBWorkID)10288138(PQKB)10083856(DE-He213)978-3-540-36182-4(MiAaPQ)EBC3072308(PPN)155238078(EXLCZ)99340000000010027720121227d2002 u| 0engurnn#008mamaatxtccrDiscovery Science[electronic resource] 5th International Conference, DS 2002, Lubeck, Germany, November 24-26, 2002, Proceedings /edited by Steffen Lange, Ken Satoh, Carl H. Smith1st ed. 2002.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2002.1 online resource (XIV, 470 p.)Lecture Notes in Computer Science,0302-9743 ;2534Bibliographic Level Mode of Issuance: Monograph3-540-00188-3 Includes bibliographical references and index.Invited Talks -- Mathematics Based on Learning -- Data Mining with Graphical Models -- On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum -- In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project -- Learning Structure from Sequences, with Applications in a Digital Library -- Regular Papers -- Discovering Frequent Structured Patterns from String Databases: An Application to Biological Sequences -- Discovery in Hydrating Plaster Using Machine Learning Methods -- Revising Qualitative Models of Gene Regulation -- SEuS: Structure Extraction Using Summaries -- Discovering Best Variable-Length-Don’t-Care Patterns -- A Study on the Effiect of Class Distribution Using Cost-Sensitive Learning -- Model Complexity and Algorithm Selection in Classification -- Experiments with Projection Learning -- Improved Dataset Characterisation for Meta-learning -- Racing Committees for Large Datasets -- From Ensemble Methods to Comprehensible Models -- Learning the Causal Structure of Overlapping Variable Sets -- Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks -- Structuring Neural Networks through Bidirectional Clustering of Weights -- Toward Drawing an Atlas of Hypothesis Classes: Approximating a Hypothesis via Another Hypothesis Model -- Datascape Survey Using the Cascade Model -- Learning Hierarchical Skills from Observation -- Poster Papers -- Image Analysis for Detecting Faulty Spots from Microarray Images -- Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations -- DNA-Tract Curvature Profile Reconstruction: A Fragment Flipping Algorithm -- Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal Clustering -- Structure-Sweetness Relationships of Aspartame Derivatives by GUHA -- A Hybrid Approach for Chinese Named Entity Recognition -- Extraction of Word Senses from Human Factors in Knowledge Discovery -- Event Pattern Discovery from the Stock Market Bulletin -- Email Categorization Using Fast Machine Learning Algorithms -- Discovery of Maximal Analogies between Stories -- Automatic Wrapper Generation for Multilingual Web Resources -- Combining Multiple K-Nearest Neighbor Classifiers for Text Classification by Reducts -- ARISTA Causal Knowledge Discovery from Texts -- Knowledge Discovery as Applied to Music: Will Music Web Retrieval Revolutionize Musicology? -- Process Mining: Discovering Direct Successors in Process Logs -- The Emergence of Artificial Creole by the EM Algorithm -- Generalized Musical Pattern Discovery by Analogy from Local Viewpoints -- Using Genetic Algorithms-Based Approach for Better Decision Trees: A Computational Study -- Handling Feature Ambiguity in Knowledge Discovery from Time Series -- A Compositional Framework for Mining Longest Ranges -- Post-processing Operators for Browsing Large Sets of Association Rules -- Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction -- Feature Selection for Propositionalization -- Subspace Clustering Based on Compressibility -- The Extra-Theoretical Dimension of Discovery Extracting Knowledge by Abduction -- Discovery Process on the WWW: Analysis Based on a Theory of Scientific Discovery -- Invention vs. Discovery A Critical Discussion.Lecture Notes in Computer Science,0302-9743 ;2534Database managementPhilosophy and scienceComputer scienceInformation storage and retrievalArtificial intelligenceInformation technologyBusiness—Data processingDatabase Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Philosophy of Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/E34000Computer Science, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/I00001Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000IT in Businesshttps://scigraph.springernature.com/ontologies/product-market-codes/522000Database management.Philosophy and science.Computer science.Information storage and retrieval.Artificial intelligence.Information technology.Business—Data processing.Database Management.Philosophy of Science.Computer Science, general.Information Storage and Retrieval.Artificial Intelligence.IT in Business.501Lange Steffenedthttp://id.loc.gov/vocabulary/relators/edtSatoh Kenedthttp://id.loc.gov/vocabulary/relators/edtSmith Carl Hedthttp://id.loc.gov/vocabulary/relators/edtInternational Conference on Discovery ScienceMiAaPQMiAaPQMiAaPQBOOK996466195103316Discovery Science772321UNISA