Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections

R Feldman; Y Aumann; A. Amihood; A Zilberstein; W Kloesgen

Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections

R Feldman, Y Aumann, A. Amihood, A Zilberstein, W Kloesgen

Department of Computer Science

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

Original language	American English
Pages (from-to)	167-170
Journal	KDD
State	Published - 1997

Cite this

TY - JOUR

T1 - Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections

AU - Feldman, R

AU - Aumann, Y

AU - Amihood, A.

AU - Zilberstein, A

AU - Kloesgen, W

PY - 1997

Y1 - 1997

UR - https://scholar.google.co.il/scholar?q=Maximal+Association+Rules%3A+A+New+Tool+for+Mining+for+Keyword+Co-Occurrences+in+Document+Collections&btnG=&hl=en&as_sdt=0%2C5

M3 - Article

SP - 167

EP - 170

JO - KDD

JF - KDD

ER -

Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections

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