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Active Mining [electronic resource] : Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers / edited by Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda.

Contributor(s): Tsumoto, Shusaku [editor.] | Yamaguchi, Takahira [editor.] | Numao, Masayuki [editor.] | Motoda, Hiroshi [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 3430Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: XII, 348 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540319337.Subject(s): Database management | Artificial intelligence | Algorithms | Medical informatics | Bioinformatics | Database Management | Artificial Intelligence | Algorithms | Health Informatics | BioinformaticsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
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.
In: Springer Nature eBook
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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.

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