Re-examination of interestingness measures in pattern mining: a unified framework

ISSN： 1384-5810

Source： Data Mining and Knowledge Discovery, Vol.21, Iss.3, 2010-11, pp. : 371-397

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

On Mining Summaries by Objective Measures of Interestingness

By Zbidi Naim

Machine Learning, Vol. 62, Iss. 3, 2006-03 ,pp. : 175-198

Springer Publishing Company

Access to resources Recommend Favorite

Behavior-based clustering and analysis of interestingness measures for association rule mining

By Tew C. Giraud-Carrier C. Tanner K. Burton S.

Data Mining and Knowledge Discovery, Vol. 28, Iss. 4, 2014-07 ,pp. : 1004-1045

Springer Publishing Company

Access to resources Recommend Favorite

Two novel interestingness measures for gene association rule mining

By Wang Meihua Wu Shumin Cai Ruichu

Neural Computing & Applications, Vol. 23, Iss. 3-4, 2013-09 ,pp. : 835-841

Springer Publishing Company

Access to resources Recommend Favorite

A Framework for Evaluating Knowledge-Based Interestingness of Association Rules: Optimal Knowledge Mining (Guest Editors: Ajith Abraham and Lakhmi Jain)

By Shekar B. Natarajan Rajesh

Fuzzy Optimization and Decision Making, Vol. 3, Iss. 2, 2004-06 ,pp. : 157-185

Springer Publishing Company

Access to resources Recommend Favorite

Knowledge discovery interestingness measures based on unexpectedness

WILEY INTERDISCIPLINARY REVIEWS: DATA MINING AND KNOWLEDGE DISCOVERY (ELECTRONIC), Vol. 2, Iss. 5, 2012-09 ,pp. : 386-399

John Wiley & Sons Inc

Access to resources Recommend Favorite