Downloads: 109

Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 1, January 2017

A Survey on Mining User-Aware Rare Sequential Pattern

Salmath Amina KP | Farzin Ahammed T ^[2]

Abstract: Sequential pattern mining is exploring enthusiasm for finding the most frequently using patterns from the data sets. We explore the sequential pattern mining using a bitmap representation. Our algorithm incrementally output new frequent itemset in an online fashion using depth-first search strategy. To find out the sequential pattern in data streams, we propose a sequential data mining algorithm using weighted sliding window. SWSS algorithm provides more space for users to specify which sequences they are more interested in. To address the problem of finding frequent and rare itemsets from the data streams, we propose another algorithm called New_SPAM. New_SPAM Algorithm is the combination of both Per_SPAM and Min_SPAM algorithm.

Keywords: Frequent Itemset Mining, SWSS, Rare itemset, Rare Sequential pattern mining, Weighted Sliding Window

Edition: Volume 6 Issue 1, January 2017,

Pages: 1979 - 1983

Similar Articles with Keyword 'Frequent Itemset Mining'