Data Mining and Knowledge Engineering

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Determining the Existence of Quantitative Association Rules in Data Mining


Affiliations
1 Department of IT, RMDEC, Chennai, India
2 Department of IT, Sree Sastha Institute of Technology, India
3 Department of CSE, RMKEC, Chennai, India
     

   Subscribe/Renew Journal


Determining the association rules is a core topic of data mining. This survey paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field, and envisioning possible future trends in this area. The theories behind association rules are presented at the beginning. Comparison of different algorithms is provided as part of the evaluation.


User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 217

PDF Views: 3




  • Determining the Existence of Quantitative Association Rules in Data Mining

Abstract Views: 217  |  PDF Views: 3

Authors

R. Sugumar
Department of IT, RMDEC, Chennai, India
A. Rengarajan
Department of IT, Sree Sastha Institute of Technology, India
C. Jayakumar
Department of CSE, RMKEC, Chennai, India

Abstract


Determining the association rules is a core topic of data mining. This survey paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field, and envisioning possible future trends in this area. The theories behind association rules are presented at the beginning. Comparison of different algorithms is provided as part of the evaluation.