A normalization method for contextual data: Experience from a large-scale application

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1398, Issue , 1998, Pages 49-54

  Letourneau, Sylvain ^a   Matwin, Stan ^b   Famili, Fazel ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Attribute normalization; Datamining; Learning in contextual domains

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA HANDLING; DATA MINING; LEARNING SYSTEMS;

AIRCRAFT MAINTENANCE; ATTRIBUTE NORMALIZATION; CLASSIFICATION TASKS; DATA PREPROCESSING; LARGE-SCALE APPLICATIONS; LEARNING TASKS; NORMALIZATION METHODS; PRE-PROCESSING;

LEARNING ALGORITHMS;

EID: 84957076901     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (4)

1. Kubat, M., Holte, R. C., Matwin, S.: Machine Learning for the Detection of Oil Spills in Satellite radar Images Machine Learning Journal, Applications of ML. (1998) to appear.
2. Letourneau, S., Matwin, S., Famili, F.: A Normalization Method for Contextual Data: Experience From A Large- Scale Application. TR-98-02
3. Taylor, C., Nakhaeizadeh, G.: Learning in Dynamically Changing Domains: Theory Revision and Context Dependence Issues. Proceedings of ECML-97. (1997) 353-360.
4. Turney, P, Halasz, M: Contextual Normalization Applied to Aircraft Gas Turbine Engine Diagnosis. Journal of Applied Intelligence 3 (1993) 109-129