Buch, Englisch, 504 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1600 g
6th International Conference, DS 2003, Sapporo, Japan, October 17-19,2003, Proceedings
Buch, Englisch, 504 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1600 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-20293-6
Verlag: Springer Berlin Heidelberg
The 18 revised full papers and 29 revised short papers presented together with 3 invited papers and abstracts of 2 invited talks were carefully reviewed and selected from 80 submissions. The papers address all current issues in discovery science including substructure discovery, Web navigation patterns discovery, graph-based induction, time series data analysis, rough sets, genetic algorithms, clustering, genome analysis, chaining patterns, association rule mining, classification, content based filtering, bioinformatics, case-based reasoning, text mining, Web data analysis, and more.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Wissenschaften: Theorie, Epistemologie, Methodik
- Geisteswissenschaften Philosophie Wissenschaftstheorie, Wissenschaftsphilosophie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
Weitere Infos & Material
Invited Talks.- Abduction and the Dualization Problem.- Signal Extraction and Knowledge Discovery Based on Statistical Modeling.- Association Computation for Information Access.- Efficient Data Representations That Preserve Information.- Can Learning in the Limit Be Done Efficiently?.- Long Papers.- Discovering Frequent Substructures in Large Unordered Trees.- Discovering Rich Navigation Patterns on a Web Site.- Mining Frequent Itemsets with Category-Based Constraints.- Modelling Soil Radon Concentration for Earthquake Prediction.- Dialectical Evidence Assembly for Discovery.- Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions.- Performance Evaluation of Decision Tree Graph-Based Induction.- Discovering Ecosystem Models from Time-Series Data.- An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm.- Extraction of Coverings as Monotone DNF Formulas.- What Kinds and Amounts of Causal Knowledge Can Be Acquired from Textby Using Connective Markers as Clues?.- Clustering Orders.- Business Application for Sales Transaction Data by Using Genome Analysis Technology.- Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates.- Chaining Patterns.- An Algorithm for Discovery of New Families of Optimal Regular Networks.- Enumerating Maximal Frequent Sets Using Irredundant Dualization.- Discovering Exceptional Information from Customer Inquiry by Association Rule Miner.- Short Papers.- Automatic Classification for the Identification of Relationships in a Meta-Data Repository.- Effects of Unreliable Group Profiling by Means of Data Mining.- Using Constraints in Discovering Dynamics.- SA-Optimized Multiple View Smooth Polyhedron Representation NN.- Elements of an Agile Discovery Environment.- Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering.- Discovery of Relationships between Interests fromBulletin Board System by Dissimilarity Reconstruction.- A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence Data.- Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm.- Mining RNA Structure Elements from the Structure Data of Protein-RNA Complexes.- Discovery of Cellular Automata Rules Using Cases.- Discovery of Web Communities from Positive and Negative Examples.- Association Rules and Dempster-Shafer Theory of Evidence.- Subgroup Discovery among Personal Homepages.- Collaborative Filtering Using Projective Restoration Operators.- Discovering Homographs Using N-Partite Graph Clustering.- Discovery of Trends and States in Irregular Medical Temporal Data.- Creating Abstract Concepts for Classification by Finding Top-N Maximal Weighted Cliques.- Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model.- An Appraisal of UNIVAUTO – The First Discovery Program to Generate a Scientific Article.- Scilog: A Language for Scientific Processes and Scales.- Mining Multiple Clustering Data for Knowledge Discovery.- Bacterium Lingualis – The Web-Based Commonsensical Knowledge Discovery Method.- Inducing Biological Models from Temporal Gene Expression Data.- Knowledge Discovery on Chemical Reactivity from Experimental Reaction Information.- A Method of Extracting Related Words Using Standardized Mutual Information.- Discovering Most Classificatory Patterns for Very Expressive Pattern Classes.- Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns.