Predicting sample size in data mining tasks using additive incremental approach

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Translated title of the contribution	Predicting sample size in data mining tasks using additive incremental approach
Original language	English
Title of host publication	Information modelling and knowledge bases XII
Editors	H. Jaakkola, H. Kangassalo, E. Kawaguchi
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	264-270
Publication status	Published - 2001
Publication type	A4 Article in conference proceedings

Publication forum classification

@inproceedings{76862d07bd874ab882725c1a924144de,

title = "Predicting sample size in data mining tasks using additive incremental approach",

author = "B. Brumen and H. Jaakkola and T. Welzer",

note = "Contribution: organisation=pori ttp,FACT1=1",

year = "2001",

language = "English",

pages = "264--270",

editor = "H. Jaakkola and H. Kangassalo and E. Kawaguchi",

booktitle = "Information modelling and knowledge bases XII",

publisher = "IOS Press",

address = "Netherlands",

}

Predicting sample size in data mining tasks using additive incremental approach. / Brumen, B.; Jaakkola, H.; Welzer, T.
Information modelling and knowledge bases XII. ed. / H. Jaakkola; H. Kangassalo; E. Kawaguchi. Amsterdam: IOS Press, 2001. p. 264-270.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Predicting sample size in data mining tasks using additive incremental approach

AU - Brumen, B.

AU - Jaakkola, H.

AU - Welzer, T.

N1 - Contribution: organisation=pori ttp,FACT1=1

PY - 2001

Y1 - 2001

M3 - Conference contribution

SP - 264

EP - 270

BT - Information modelling and knowledge bases XII

A2 - Jaakkola, H.

A2 - Kangassalo, H.

A2 - Kawaguchi, E.

PB - IOS Press

CY - Amsterdam

ER -