1.

Record Nr.

UNINA9910768442503321

Titolo

Active mining : second international workshop, AM 2003, Maebashi, Japan, October 28, 2003 : revised selected papers / / Shusaku Tsumoto ... [et al.]

Pubbl/distr/stampa

Berlin ; ; New York, : Springer, c2005

ISBN

3-540-31933-6

Edizione

[1st ed. 2005.]

Descrizione fisica

1 online resource (XII, 348 p.)

Collana

Lecture notes in computer science, , 0302-9743 ; ; 3430. Lecture notes in artificial intelligence

Altri autori (Persone)

TsumotoShusaku <1963->

Disciplina

006.3/12

Soggetti

Data mining

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"This volume contains the papers based on the tutorials of ISMIS 2003 and the papers selected from the regular papers presented at the 2nd International Workshop on Active Mining (AM 2003) held as part of ISMIS 2003"--p. [vii].

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.