E-Book, Englisch, 348 Seiten, eBook
Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers
E-Book, Englisch, 348 Seiten, eBook
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-31933-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
