A novel evolutionary data mining algorithm with applications to churn prediction
- Author
- AU, Wai-Ho1 ; CHAN, Keith C. C1 ; XIN YAO2
[1] Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong-Kong
[2] School of Computer Science, The University of Birmingham, Birmingham B15 2TT, United Kingdom - Issue title
- Data mining and knowledge discovery with evolutionary algorithms
- Author (monograph)
- GHOSH, Ashish (Editor)1 ; FREITAS, Alex A (Editor)2
[1] Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India
[2] University of Kent, Computing Laboratory, Canterbury, Kent CT2 7NF, United Kingdom - Source
IEEE transactions on evolutionary computation. 2003, Vol 7, Num 6, pp 532-545, 14 p ; ref : 41 ref
- CODEN
- ITEVF5
- ISSN
- 1089-778X
- Scientific domain
- Computer science
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Index Terms-Churn prediction customer retention data mining evolutionary computation genetic algorithms
- Keyword (en)
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 15390233
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TEVC.2003.819264 
https://dx.doi.org/10.1109/TEVC.2003.819264
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