Active Mining: Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers: Lecture Notes in Computer Science, cartea 3430
Editat de Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motodaen Limba Engleză Paperback – 3 iun 2005
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Specificații
ISBN-13: 9783540261575
ISBN-10: 3540261575
Pagini: 368
Ilustrații: XII, 348 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.52 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540261575
Pagini: 368
Ilustrații: XII, 348 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.52 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Overview.- Active Mining Project: Overview.- Tutorial Papers.- Computational and Statistical Methods in Bioinformatics.- Indexing and Mining Audiovisual Data.- Active Information Collection.- Relevance Feedback Document Retrieval Using Support Vector Machines.- Micro View and Macro View Approaches to Discovered Rule Filtering.- Mining Chemical Compound Structure Data Using Inductive Logic Programming.- First-Order Rule Mining by Using Graphs Created from Temporal Medical Data.- Active Data Mining.- Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction.- Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI.- Investigation of Rule Interestingness in Medical Data Mining.- Experimental Evaluation of Time-Series Decision Tree.- Spiral Multi-aspect Hepatitis Data Mining.- Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts.- CHASE 2 – Rule Based Chase Algorithm for Information Systems of Type ?.- Active User Reaction.- Empirical Comparison of Clustering Methods for Long Time-Series Databases.- Spiral Mining Using Attributes from 3D Molecular Structures.- Classification of Pharmacological Activity of Drugs Using Support Vector Machine.- Cooperative Scenario Mining from Blood Test Data of Hepatitis B and C.- Integrated Mining for Cancer Incidence Factors from Healthcare Data.