Interactive knowledge discovery from hidden data through sampling of frequent patterns-Reference-Cited by-同舟云学术

Interactive knowledge discovery from hidden data through sampling of frequent patterns

Published:2016-07-13 Issue:4 Volume:9 Page:205-229
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Bhuiyan Mansurul¹,Hasan Mohammad Al¹

Affiliation:

1. Department of Computer & Information Science Indiana University‐Purdue University Indianapolis 723 W Michigan St, SL 280 Indianapolis IN 46202 USA

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11322

Reference47 articles.

1. R.AgrawalandR.Srikant Fast algorithms for mining association rules in large databases. In Proceedings of the 20th International Conference on Very Large DataBases (VLDB'94) Morgan Kaufmann 1994 478–499.

2. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach

3. Efficiently mining frequent trees in a forest: algorithms and applications

4. M.KuramochiandG.Karypis Frequent subgraph discovery In IEEE International Conference on Data Mining 2001.

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