Visually Aided Exploration of Interesting Association Rules-Reference-Cited by-同舟云学术

Visually Aided Exploration of Interesting Association Rules

Published:1999 Issue: Volume: Page:380-389
ISSN:0302-9743
Container-title:Methodologies for Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Liu Bing,Hsu Wynne,Wang Ke,Chen Shu

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-48912-6_52

Reference16 articles.

1. Adomavicius, G. and Tuzhilin, A. “Discovery of actionable patterns in data-bases: the action hierarchy approach.” KDD-97, 1997, pp. 111–114.

2. Agrawal, R., Imielinski, T. and Swami, A. Mining association rules between sets of items in large databases. SIGMOD-1993, 1993, pp. 207–216.

3. Fayyad, U., Piatesky-Shapiro, G. and Smyth, P. “From data mining to knowledge discovery: an overview,” In: Advances in knowledge discovery and data mining, U. Fayyad, G. Piatesky-Shapiro, P. Smyth and R. Uthurusamy, (eds.), AAAI/MIT Press, 1996, pp. 1–34.

4. Han, J., Fu, Y., Wang, W., Koperski, K. and Zaiane, O. “DMQL: a data mining query language for relational databases.” SIGMOD Workshop on KDD, 1996.

5. Imielinski, T., Virmani, A. and Abdulghani, A. “DataMine: application programming interface and query language for database mining.” KDD-96, 1996.

Cited by 18 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. DART: a visual analytics system for understanding dynamic association rule mining;The Visual Computer;2020-02-05

2. Processing of association rules with ontology in distributed NoSQL systems;Web Intelligence;2019-12-02

3. Discovering Strong Meta Association Rules Using Bees Swarm Optimization;Lecture Notes in Computer Science;2018

4. Visual Association Rules;Encyclopedia of Database Systems;2018

5. Visual Association Rules;Encyclopedia of Database Systems;2017