Survey of High Utility Item sets Mining Algorithms

  Sharayu H. Fukey,  Prof. P. M. Chawan

This days, we come across a lot of things that have profit technically referred as external utility, value greater than the other item sets in the database. Thus, a new concept that needs new work done is utility mining. Rare item sets have been explained that are used for the mining of the items having utility value less than the threshold but are of great use. Utility mining has come as an important topic in data mining and has received extensive research in last some years. In utility mining, each item is associated with a utility that could be profit, quantity, cost or other user preferences. Objective of Utility Mining is to identify the item sets with highest utilities. Basically the utility of an item set represents its importance, which can be measured in terms of weight, values, quantities or any other information depending on the user specification and requirements. Item set is termed to be high utility item set if its utility is greater than min_util i.e. user specified minimum utility threshold. Practically in many applications high utility item sets consists of rare items. Different decision making domains such as business transactions, medical, security, fraudulent transaction, retail etc. make use of rare item sets to get useful information. “High-utility item set mining” utility mining is a popular problem in the field of data mining. Many algorithms have been proposed in this field in the recent years. In this paper, will give an overview of this problem. Organization of this survey is given as follows: In first section we introduced basic terms like Data mining, frequent pattern mining, Association Rule mining, Utility Mining and Rare Item set Mining. In second section we summarizes some important previous research work related to utility mining. A brief literature survey is given so as to show the work done in this field till date.

Keywords- Utility Mining, Frequent Item set mining, High-utility item sets, rare item sets, Transaction Weighted Utilization. Component

Unique Identification Number - IJEDR1702119
Page Number(s) - 700-704
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sharayu H. Fukey,  Prof. P. M. Chawan ,   "Survey of High Utility Item sets Mining Algorithms", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.700-704, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702119.pdf