Investigating classifier learning behavior with experiment databases

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2008, Pages 421-428

  Vanschoren, Joaquin ^a   Blockeel, Hendrik ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; DATABASE SYSTEMS; MACHINE LEARNING;

CLASSIFICATION ALGORITHM; CLASSIFIER LEARNING; DEVELOPMENT AND APPLICATIONS; EXPERIMENTAL ASSESSMENT; LEARNING BEHAVIOR; REAL-WORLD PROBLEM;

CLASSIFICATION (OF INFORMATION);

EID: 84862020669     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-78246-9_50     Document Type: Conference Paper

References (6)

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2. BLOCKEEL, H. and Vanschoren J. (2007): Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning. Lecture Notes in Computer Science, 4702, to appear.
3. KALOUSIS, A. and HILARIO, M. (2000): Building Algorithm Profiles for prior Model Selection in Knowledge Discovery Systems. Engineering Intelligent Syst., 8(2).
4. PENG, Y. et al. (2002): Improved Dataset Characterisation for Meta-Learning. Lecture Notes in Computer Science, 2534, 141-152.
5. VAN SOMEREN, M. (2001): Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications. Lecture Notes in Computer Science, 2049, 196-217.
6. WITTEN, I.H. and FRANK, E. (2005): Data Mining: Practical Machine Learning Tools and Techniques (2nd edition). Morgan Kaufmann.