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  • Produktbild: Discovery Science
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Band 2843

Discovery Science 6th International Conference, DS 2003, Sapporo, Japan, October 17-19,2003, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.10.2003

Abbildungen

XII, 504 p.

Herausgeber

Gunter Grieser + weitere

Verlag

Springer Berlin

Seitenzahl

504

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

785 g

Auflage

2003

Sprache

Englisch

ISBN

978-3-540-20293-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.10.2003

Abbildungen

XII, 504 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

504

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

785 g

Auflage

2003

Sprache

Englisch

ISBN

978-3-540-20293-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Discovery Science
  • Produktbild: Discovery Science
  • 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.