BibSonomy Output

672836

Fast Algorithms for Mining Association Rules in Large Databases

Agrawal, R. & Srikant, R.

VLDB '94: Proceedings of the 20th International Conference on Very Large Data Bases

,

pp. 487-499

,

1994

charniak97statistical

url

Statistical Techniques for Natural Language Parsing

Charniak, E.

AI Magazine

,

Vol. 18

,

pp. 33-44

,

1997

dempster77

Maximum likelihood from incomplete data via the EM algorithm.

Dempster, A.; Laird, N. & Rubin, D.

J. Royal Statistical Society, Series B

,

Vol. 39

,

pp. 1-38

,

1977

MacKay2003

url

Information Theory, Inference, and Learning Algorithms

MacKay, D. J. C.

2003

manning99foundations

url

Foundations of Statistical Natural Language Processing

Manning, C. D. & Schütze, H.

The MIT Press

,

1999

conf/sigmod/NgLHP98

url

Exploratory Mining and Pruning Optimizations of Constrained Association Rules.

Ng, R. T.; Lakshmanan, L. V. S.; Han, J. & Pang, A.

SIGMOD Conference

,

pp. 13-24

,

1998

park1995ehb

An effective hash-based algorithm for mining association rules

Park, J.; Chen, M. & Yu, P.

Proceedings of the 1995 ACM SIGMOD international conference on Management of data

,

pp. 175-186

,

1995

rijsbergen79ir

url

Information retrieval

van Rijsbergen, C. J.

Butterworths

,

1979

conf/www/SarwarKKR01

url

Item-based collaborative filtering recommendation algorithms.

Sarwar, B. M.; Karypis, G.; Konstan, J. A. & Riedl, J.

WWW

,

pp. 285-295

,

2001

carstensen04coling

url

Computerlinguistik und Sprachtechnologie. Eine Einführung

Spektrum Akademischer Verlag

,

2004