Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

10

SAC
1997
ACM

favoriteEmaildiscussreport

99views Applied Computing» more SAC 1997»

An effective algorithm for mining interesting quantitative association rules

13 years 8 months ago

An effective algorithm for mining interesting quantitative association rules

Download www4.comp.polyu.edu.hk

Keith C. C. Chan, Wai-Ho Au

Real-time Traffic

Applied Computing | SAC 1997 |

claim paper

Related Content

» Evolutionary Extraction of Association Rules A Preliminary Study on their Effectiveness

» Experiences of Using a Quantitative Approach for Mining Association Rules

» Mining Quantitative Association Rules in Large Relational Tables

» MPSQAR Mining Quantitative Association Rules Preserving Semantics

» Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Associati...

» Mining the Most Interesting Web Access Associations

» Genetic Learning of Membership Functions for Mining Fuzzy Association Rules

» MIC Framework An InformationTheoretic Approach to Quantitative Association Rule Mining

» Automated support specification for efficient mining of interesting association rules

Post Info
More Details (n/a)

Added	07 Aug 2010
Updated	07 Aug 2010
Type	Conference
Year	1997
Where	SAC
Authors	Keith C. C. Chan, Wai-Ho Au

Comments (0)