Mining border descriptions of emerging patterns from dataset pairs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
http://link.springer.com/content/pdf/10.1007/s10115-004-0178-1.pdf
Reference44 articles.
1. Agrawal R, Imielinski T, Swami A (1993) Mining association rules between sets of items in large databases. In: Proceedings ACM-SIGMOD international conference on management of data. Washington, DC, May 1993, pp 207–216
2. Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci USA 96:6745–6750
3. Bailey J, Manoukian T, Ramamohanarao K (2002) Fast algorithms for mining emerging patterns. In: Proceedings of PKDD
4. Bay SD, Pazzani MJ (2001) Detecting group differences: mining contrast sets. Data Min Knowl Discov
5. Bayardo RJ (1998) Efficiently mining long patterns from databases. In: Proceedings of the ACM-SIGMOD international conference on management of data, pp 85–93
Cited by 80 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 Fuzzy Temporal Gradual Emerging Patterns;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2021-10
2. On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets;IEEE Transactions on Knowledge and Data Engineering;2021-04-01
3. Resolution based algorithms for the transversal hypergraph generation problem;Theoretical Computer Science;2020-05
4. Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems;Synthesis Lectures on Data Mining and Knowledge Discovery;2019-02-22
5. Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?;IEEE Computational Intelligence Magazine;2019-02
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