Solving Management Problems Using RSTDB a Frequent Pattern Mining Technique

Abstract: We are living in a highly competitive environment where time to make critical decision is getting lesser and lesser. Data Mining which is the exploration and extraction of meaningful information from the large source of data generated as a result of various data processing activities is capable to help the higher management authorities to make important decisions on time. Data mining which is basically a step in Knowledge Discovery from Database process uses several techniques to implement the above objective. Association rule mining is one of the data mining techniques used, which require the mining of frequent data sets in the transaction database. Thus, Data Mining basically helps in creation of decision support system for higher managers. In this paper we have proposed the use of RSTDB algorithm for the extraction of Information from large databases for solving management problem.

Keywords: I Data-mining, Knowledge Discovery from Database, Association rule, Frequent Pattern Mining.