A Comparative study of Techniques in Data Mining

Abstract- Data Mining encompasses tools and technique for the “Extraction or Mining of knowledge from huge repository of data”. In Data Mining various techniques that used are Association Rule Mining, Sequential Pattern Mining, Clustering, and Classification. Varieties of algorithms are developed for each of these techniques. This paper present comparison of algorithms developed for different techniques. It also includes comparison of various algorithms available for sequential pattern mining like GSP, FreeSpan, PrefixSpan and tools available for implementation of Data Mining Algorithm. Keywords-- Data Mining, Sequential pattern mining