Data analytics : feature extraction for application with small sample in classification algorithms
Year of publication: |
2017
|
---|---|
Authors: | Priya, L. Kamatchi ; Kavitha Devi, M. K. ; Nagarajan, S. |
Published in: |
International journal of business information systems : IJBIS. - Olney, Bucks. : Inderscience Enterprises, ISSN 1746-0972, ZDB-ID 2193362-5. - Vol. 26.2017, 3, p. 378-401
|
Subject: | classification | feature selection | feature extraction | redundancy elimination | relevance analysis | maximum spanning tree | MST | supervised learning | Theorie | Theory | Klassifikation | Classification | Data Mining | Data mining |
-
Improving churn prediction using imperialist competitive algorithm for feature selection in telecom
Abbasimehr, Hossein, (2024)
-
Associative classification apporaches : review and comparison
Abdelhamid, Neda, (2014)
-
Credit risk scoring in entrepreneurship : feature selection
Pejić Bach, Mirjana, (2019)
- More ...
-
ICRS : an intelligent collaborative recommender system for electronic purchasing
Kavitha Devi, M. K., (2009)
-
ICRS : an intelligent collaborative recommender system for electronic purchasing
Kavitha Devi, M. K., (2009)
-
Nagarajan, S., (2009)
- More ...