Exploration Of Soft Computing Approaches on Itemset Utility Mining

ISBN-13: 9786202078764 / Angielski / Miękka / 2018 / 200 str.

Jyothi Pillai

Opis

Large amounts of data have been collected in the course of day-to-day operations and transactions in Business, Administration, Banking, Social and health services, Environmental protection, Security and also in Politics. ARM or itemset mining predominantly focus on identifying frequent itemsets but in recent times researchers have developed a fresh new perspective towards rare itemsets. Rare itemsets can unveil interesting information in real-world domains such as credit card fraudulence analysis, telecommunication systems failure detection, health care, On-line stream mining, etc. The research work chronicles the related issues of Classical Association Rule Mining approaches to Market Basket Analysis.An user-centric approach for making Business Data Mining more realistic and usable to business analyst is discussed. Various innovative approaches which have modified the Data Mining algorithms by incorporating utility, time and fuzzy concepts in it are also discussed in the book.

O autorze

Pillai, Jyothi
Dr. Jyothi Pillai is a Professor at Bhilai Institute of Technology (BIT) Durg. She did her B.Sc., MCA and Ph.D. in Computer Science& Information Technology. She has presented and published 30 research papers in National /International Conferences Journals. Her research area focuses on Data Mining, Soft Computing and Big Data Analytics.