Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations

Ian H. Witten; Eibe Frank; James Geller

doi:10.1145/507338.507355

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations

Ian H. Witten, Eibe Frank, James Geller

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	76-77
Number of pages	2
Journal	SIGMOD Record
Volume	31
Issue number	1
DOIs	https://doi.org/10.1145/507338.507355
State	Published - 2002

All Science Journal Classification (ASJC) codes

Software
Information Systems

Access to Document

10.1145/507338.507355

Cite this

@article{4dfe628af91348748956bb933276d336,

title = "Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations",

author = "Witten, {Ian H.} and Eibe Frank and James Geller",

year = "2002",

doi = "10.1145/507338.507355",

language = "English (US)",

volume = "31",

pages = "76--77",

journal = "SIGMOD Record",

issn = "0163-5808",

publisher = "Association for Computing Machinery (ACM)",

number = "1",

}

TY - JOUR

T1 - Data Mining

T2 - Practical Machine Learning Tools and Techniques with Java Implementations

AU - Witten, Ian H.

AU - Frank, Eibe

AU - Geller, James

PY - 2002

Y1 - 2002

UR - http://www.scopus.com/inward/record.url?scp=84879413846&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879413846&partnerID=8YFLogxK

U2 - 10.1145/507338.507355

DO - 10.1145/507338.507355

M3 - Article

AN - SCOPUS:84879413846

SN - 0163-5808

VL - 31

SP - 76

EP - 77

JO - SIGMOD Record

JF - SIGMOD Record

IS - 1

ER -

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this