A Survey on Algorithms for Sequential Pattern Mining
نویسندگان
چکیده
Sequential pattern mining is a very useful mining technique for various sectors like healthcare, retail business, DNA analysis etc. It generates patterns which are frequently occurring in given sequence of transactions. It uses sequence database having sequence of transactions with transaction time. In sequence database every transaction is having various items. By sequential pattern mining user wants frequent patterns which are generating according to given constraint. GSP, SPADE, SPAM and Prefix span are few efficient sequential pattern mining algorithms. In this survey various algorithms(GSP,SPADE,SPIRIT,SPAM,CLO-SPAM,CMDS,FREESPAN,WAP-MINE & PREFIX SPAN) are studied for sequential pattern mining. This survey found pros and cons for each algorithm in various scenario and other
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