Pseudo Projection Based Approach to Discover Time Interval Sequential Pattern

Abstract

Data mining is the process to find out mysteriousand interesting patterns from transactional database. Sequential mining is the one of the major sub-area of data mining to find out the frequent sequences. As straight sequential pattern mining methods do not consider transaction occurrence time intervals, it is impossible to predict the time intervals of any two transactions mined as frequent sequences. There are several constraints to find out the effective and frequent sequential patterns. In this paper, I take time interval between two successive transactions. Time interval sequential mining is the process to find out the frequent sequential patterns with consideration of time interval constraint between two successive truncations. This paper proposed the modify version of the I-Prefixspan algorithm, is called as NI-PrefixSpan, to find out the time interval sequential pattern with pseudo projection table. Later, in this paper identify various advantage and drawback with this approach.