A novel method for constrained class association rule mining-Reference-Cited by-同舟云学术

A novel method for constrained class association rule mining

Published:2015-11 Issue: Volume:320 Page:107-125
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Nguyen Dang,Nguyen Loan T.T.,Vo Bay,Hong Tzung-Pei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference43 articles.

1. MAC: a multiclass associative classification algorithm;Abdelhamid;J. Inf. Knowl. Manage.,2012

2. Associative classification approaches: review and comparison;Abdelhamid;J. Inf. Knowl. Manage.,2014

3. Rakesh Agrawal, Tomasz Imieliński, Arun Swami, Mining association rules between sets of items in large databases, in: Paper Presented at the ACM SIGMOD Record, 1993.

4. Rakesh Agrawal, Ramakrishnan Srikant, Fast algorithms for mining association rules in large databases, in: Paper Presented at the 20th International Conference on Very Large Data Bases, 1994.

5. Generalized association rule mining with constraints;Baralis;Inf. Sci.,2012

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel multi-label feature selection method with association rules and rough set;Information Sciences;2023-05

2. A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules;International Journal of Information Retrieval Research;2023-01-13

3. A modified multi-objective slime mould algorithm with orthogonal learning for numerical association rules mining;Neural Computing and Applications;2022-11-15

4. An incremental rare association rule mining approach with a life cycle tree structure considering time-sensitive data;Applied Intelligence;2022-08-25

5. FR-Tree: A novel rare association rule for big data problem;Expert Systems with Applications;2022-01