On the complexity of inducing categorical and quantitative association rules

Author:

Angiulli Fabrizio,Ianni Giovambattista,Palopoli Luigi

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference27 articles.

1. M. Agrawal, E. Allender, S. Datta, On TC0, AC0 and arithmetic circuits, in: Proc. 12th Ann. IEEE Conf. on Computational Complexity, IEEE Computer Society Press, Silver Spring, MD, 1997, pp. 134–148.

2. R. Agrawal, T. Imielinski, A.N. Swami, Mining association rules between sets of items in large databases, in: Proc. 1993 ACM SIGMOD Internat. Conf. on Management of Data, Washington, DC, ACM Press, New York, 1993, May 26–28, pp. 207–216.

3. R. Agrawal, R. Srikant, Fast algorithms for mining association rules in large databases, in: VLDB’94, Proc. 20th Int. Conf. on Very Large Data Bases, Santiago de Chile, Chile, Morgan Kaufmann, Los Atlos, CA, 1994, September 12–15, pp. 487–499.

4. R. Agrawal, R. Srikant, Mining sequential patterns, in: Proc. 11th Internat. Conf. on Data Engineering, Taipei, Taiwan, IEEE Computer Society, Silver Spring, MD, 1995, March 6–10, pp. 3–14.

5. A. Ambainis, D.M. Barrington, H. LêThanh, On counting AC0 circuits with negative constants, in: Proc. 23rd Internat. Symp. on Mathematical Foundations of Computer Science (MFCS), Springer, Berlin, 1998, pp. 409–417.

Cited by 15 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. Mining Frequent Items in a Product of Partial Orders Using Parallel Calculations;Automation and Remote Control;2021-10

2. Association Rules;Behaviormetrics: Quantitative Approaches to Human Behavior;2021

3. Finding Frequent Elements for a Product of Partial Orders and Association Rules;2020 International Conference on Information Technology and Nanotechnology (ITNT);2020-05-26

4. A Tour from Regularities to Exceptions;Studies in Big Data;2017-05-31

5. Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis;Journal of Chemical Information and Modeling;2015-08-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3