Mining strongly correlated item pairs in large transaction databases

ISSN： 1759-1163

Source： International Journal of Data Mining, Modelling and Management, Vol.5, Iss.1, 2013-02, pp. : 76-96

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An efficient algorithm for mining frequent closed itemsets in dynamic transaction databases

By Wang Ruili Xu Luofeng Marsland Stephen Rayudu Ramesh

International Journal of Intelligent Systems Technologies and Applications, Vol. 4, Iss. 3-4, 2008-02 ,pp. : 313-326

Inderscience Publishers

Access to resources Recommend Favorite

Constraint-Based Rule Mining in Large, Dense Databases

By Bayardo Roberto Agrawal Rakesh Gunopulos Dimitrios

Data Mining and Knowledge Discovery, Vol. 4, Iss. 2-3, 2000-07 ,pp. : 217-240

Springer Publishing Company

Access to resources Recommend Favorite

Efficient mining for structurally diverse subgraph patterns in large molecular databases

By Maunz Andreas Helma Christoph Kramer Stefan

Machine Learning, Vol. 83, Iss. 2, 2011-05 ,pp. : 193-218

Springer Publishing Company

Access to resources Recommend Favorite

MINING DEPENDENT PATTERNS IN PROBABILISTIC DATABASES

By ZHANG SHICHAO ZHANG CHENGQI YU JEFFREY

Cybernetics and Systems, Vol. 35, Iss. 4, 2004-06 ,pp. : 399-424

Taylor & Francis Ltd

Access to resources Recommend Favorite

Tautomerism in large databases

By Sitzmann Markus Ihlenfeldt Wolf-Dietrich Nicklaus Marc

Journal of Computer-Aided Molecular Design, Vol. 24, Iss. 6-7, 2010-06 ,pp. : 521-551

Springer Publishing Company

Access to resources Recommend Favorite