Extracting Recurrent Patterns from Web Blog by Using Pattern Decomposition Algorithm


Authors : Shimpli . G.Dhale, Sagar. S. Badhiye

Volume/Issue : Volume 2 - 2017, Issue 4 - April

Google Scholar : https://goo.gl/0vFAoJ

Scribd : https://goo.gl/S7bi8w

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Recurring patterns are ubiquitous in large datasets. In many real-world applications, they can provide useful information pertaining to seasonal or temporal associations between items. In the web blog, various recurrent patterns are found which contain useful information. Finding recurring patterns is a non-trivial task because of main reasons. Each recurring pattern is associated with temporal information pertaining to its durations of periodic appearances in a series. Obtaining this information is very challenging because the information can change and vary within and across patterns. There are many recurrent pattern algorithms, but there is a trade-off between algorithms efficiency and speed. In this, we used the pattern decomposition algorithm for finding the recurrent pattern in the time series data.

Keywords : Index Term- Recurring patterns, time series,nontrivial, web blog.

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