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Approach For Mining In Lossless Representation Of Closed Itemsets


Author(s):

Sonal D. Tamaskar , HVPM’s college of Engineering and Technology Amravati, India; Prof. Anjali B. Raut., HVPM’s College of Engineering and Technology Amravati, India

Keywords:

Frequent Item Set, Closed+ High Utility Item Set, Lossless and Concise Representation, Utility Mining, Data Mining

Abstract:

Mining high utility item sets (HUIs) from databases is an important data mining task, which refers to the discovery of item sets with high utilities (e.g. high profits). However, it may present too many HUIs to users, which also degrades the efficiency of the mining process. To achieve high efficiency for the mining task and provide a concise mining result to users, we propose a novel framework in this paper for mining closed+ high utility item sets (CHUIs), which serves as a compact and lossless representation of HUIs. We propose efficient algorithms based on Apriori CH (Apriori-based algorithm for mining High utility Closed + item sets), Apriori HC-D (Apriori HC algorithm with discarding unpromising and isolated items) and CHUD (Closed + High Utility Item set Discovery) to find this representation.


Other Details:

Manuscript Id :IJSTEV2I11265
Published in :Volume : 2, Issue : 11
Publication Date: 01/06/2016
Page(s): 645-650
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