Discovering Locally Frequent Patterns from Temporal Data

Abstract: Mining patterns from large dataset is an interested data mining problem. Many methods have been developed for this purpose till today. Most of the methods considered the time attributes as one of the attributes like others. However taking the time attribute into account separately the patterns can be extracted which cannot be extracted by normal methods. These patterns are termed as temporal patterns A couple of works have already been done in mining temporal patterns. In this article, we propose an efficient method of mining locally frequent patterns from temporal datasets. The efficacy of our method is established using experiments carried on a real life datasets and a synthetic datasets. Then we make comparative studies with a well established method and found that our method outperforms at least one well-known method.

Keywords: Data Mining, Frequent patterns, temporal patterns, locally frequent patterns.