Mining range associations for classification and characterization-Reference-Cited by-同舟云学术

Mining range associations for classification and characterization

Published:2018-11 Issue: Volume:118 Page:92-106
ISSN:0169-023X
Container-title:Data & Knowledge Engineering
language:en
Short-container-title:Data & Knowledge Engineering

Author:

Shao Jianhua,Tziatzios Achilleas

Publisher

Elsevier BV

Subject

Information Systems and Management

Reference20 articles.

1. Introduction to Data Mining;Tan,2005

2. A statistical theory for quantitative assocation rules;Aumann;J. Intell. Syst.,2003

3. R. Srikant, R. Agrawal, Mining quantitative association rules in large relational tables, in: Proceedings of the ACMSIGMOD Conference on Management of Data, 1996, pp. 1–12.

4. Data mining with optimized two-dimensional association rules;Fukuda;ACM Trans. Database Syst.,2001

5. A. Salleb-Aouissi, C. Vrain, C. Nortet, Quantminer: a genetic algorithm for mining quantitative association rules. In Proceedings of the 20th International Joint Conference on Artifical Intelligence (IJCAI-07), 2007, pp. 1035–1040.

Cited by 4 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. Efficiently Mining Colocation Patterns for Range Query;Big Data Research;2023-02

2. Development of a Causality Least Association Rules Algorithm Tool Using Rational Unified Process Methodology;Industry Forward and Technology Transformation in Business and Entrepreneurship;2023

3. Decision Tree for Uncertain Numerical Data Using Bagging and Boosting;Intelligent Sustainable Systems;2021-12-17

4. Classifying univariate uncertain data;Applied Intelligence;2020-11-07