Review on High Utility Item Set Mining Algorithms

• Author(s): Sonali Pawar ; Sanjana Sharma
• Paper ID: 1704961
• Page: 123-126
• Published Date: 16-08-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 7 Issue 2 August-2023

Abstract

Data mining is computing process of discovering patterns in large data sets involving methods at the intersection of data base system. Data mining popular problem is High utility item set mining (HUI) or more generally utility mining (UI). The problem of HUI (High utility item set) is mainly introduction to frequently item set. Frequent pattern mining is a popular problem in data mining, which consists in finding frequent patterns in transaction databases. Frequent item set mining works to discover item set which are frequently appear in transaction database, which can be discover on the basis of support and confidence value of different itemset. Using frequent itemset mining concept as a base, many researchers have also proposed different new concept on utility-based mining of itemset. This paper presents a comprehensive systematic literature review of present techniques used for mining high utility item sets from huge data set.

Keywords

Data Mining, KDD Process, Minimum Utility, High Utility Mining, Minimum Utility.

Citations

IRE Journals:
Sonali Pawar , Sanjana Sharma "Review on High Utility Item Set Mining Algorithms" Iconic Research And Engineering Journals Volume 7 Issue 2 2023 Page 123-126

IEEE:
Sonali Pawar , Sanjana Sharma "Review on High Utility Item Set Mining Algorithms" Iconic Research And Engineering Journals, 7(2)