Pattern discovery on the World Wide Web by Using Web Mining Methods: A Review

Anu Bala, Amardeep Singh

Abstract: Web mining is a very popular technique that helps users find useful and required information from a huge amount of digital text documents available on the Web; knowledge or databases. Instead of using the simplest keyword-based approach which is normally used in this field for data extraction; the pattern based model in which we are able to find common sequential patterns can be used to perform the same concept of tasks in a more. However; how to effectively use these discovered patterns is still a big challenge. In this study; we propose different approaches based on the use of pattern deploying strategies.

Keywords: Text mining, D-Pattern DP, Sequential pattern SP, Term frequencyinverse document frequency TFIDF, Frequent pattern FP, Pattern Deploy method PDM

How to Cite?: Anu Bala, Amardeep Singh, "Pattern discovery on the World Wide Web by Using Web Mining Methods: A Review", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 758-760, https://www.ijsr.net/getabstract.php?paperid=2014251, DOI: https://dx.doi.org/10.21275/2014251