Frequent Itemset Mining with Constraints
Author:
Publisher
Springer US
Link
http://link.springer.com/content/pdf/10.1007/978-0-387-39940-9_170
Reference15 articles.
1. Agrawal R., Imielinski T., and Swami A. Mining association rules between sets of items in large databases. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2003, pp. 207–216.
2. Agrawal R. and Srikant R. Fast algorithms for mining association rules. In Proc. 20th Int. Conf. on Very Large Data Bases, 1994, pp. 487–499.
3. Bonchi F. and Lucchese C. Pushing tougher constraints in frequent pattern mining. In Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conf., 2005, pp. 114–124.
4. Bucila C., Gehrke J., Kifer D., and White W. DualMiner: a dual-pruning algorithm for itemsets with constraints. In Proc. 8th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2002, pp. 42–51.
5. Gade K., Wang J., and Karypis G. Efficient closed pattern mining in the presence of tough block constraints. In Proc. 10th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2004, pp. 138–147.
Cited by 8 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. Predictive analytics on open big data for supporting smart transportation services;Procedia Computer Science;2020
2. An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments;Computational Science and Its Applications – ICCSA 2018;2018
3. A Review of Frequent Pattern Mining Algorithms for Uncertain Data;Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016;2017-08-23
4. Finding efficiencies in frequent pattern mining from big uncertain data;World Wide Web;2016-09-06
5. Uncertain Frequent Pattern Mining;Frequent Pattern Mining;2014
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