A hybrid framework for mining high-utility itemsets in a sparse transaction database-Reference-Cited by-同舟云学术

A hybrid framework for mining high-utility itemsets in a sparse transaction database

Published:2017-04-25 Issue:3 Volume:47 Page:809-827
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Dawar Siddharth,Goyal Vikram,Bera Debajyoti

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-017-0932-1/fulltext.html

Reference36 articles.

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3. Ahmed C F, Tanbeer S K, Jeong B S, Lee Y K (2011) Huc-prune: an efficient candidate pruning technique tomine high utility patterns. Appl Intell 34(2):181–198. doi: 10.1007/s10489-009-0188-5

4. Ahmed CF, Tanbeer SK, Jeong BS, Choi HJ (2012) Interactive mining of high utility patterns over data streams. Expert Syst Appl 39(15):11,979–11,991. doi: 10.1016/j.eswa.2012.03.062 . http://www.sciencedirect.com/science/article/pii/S0957417412005854

5. Bansal R, Dawar S, Goyal V (2015) An efficient algorithm for mining high-utility itemsets with discount notion. Springer International Publishing, Cham, pp 84–98. doi: 10.1007/978-3-319-27057-9_6

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