Active mining second international workshop, AM 2003, Maebashi, Japan, October 28, 2003 : revised selected papers /
"This volume contains the papers selected for presentation at the 2nd International Workshop on Active Mining (AM 2003) which was organized in conjunction with the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS 2003), held in Maebashi City, Japan, 28-31 October, 20...
| Corporate Authors: | AM 2003 Maebashi-shi, Japan) |
|---|---|
| Other Authors: | AM 2003, Tsumoto, Shusaku, 1963-, SpringerLink (Online service), International Symposium on Methodologies for Intelligent Systems |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2005.
Berlin ; New York : [2005] |
| Physical Description: |
1 online resource (xii, 347 pages) : illustrations. |
| Series: |
Lecture notes in computer science ;
3430. Lecture notes in computer science. Lecture notes in artificial intelligence. |
| Subjects: |
Table of Contents:
- 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.