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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.