Trace Event – A Web Mining based Application for the Collection of Online Web Events

Author(s):

Divya K , KCG College of Technology; Kavitha J, KCG College of Technology; Rajkumar Rajavel, KCG College of Technology

Keywords:

web mining, content mining, structure mining, usage mining, server logs, text preferences

Abstract:

Web mining is one of the applications of data mining which is used to retrieve information from large amount of data available on web as per user queries. Web mining techniques are used to find and extract required information from the web pages. Content mining is used to extract data from the web page contents. Usage mining is used to fetching information from user logs. Structure mining is used to mine the structure of the websites. Retrieving relevant content from web pages is tedious process. In this paper, we are going to use content mining and usage mining techniques for collecting technical and non-technical events published on various sites. The user can get required details about the events at a single place instead of visiting all other websites. Existences of data available on internet are in different formats such as structured, unstructured and semi structured. Most of the information available on internet is in unstructured format. To discover exact data which is requested in user query can be done by matching keywords with content of the web pages. Giving text preferences is the simple way for searching information from web documents.

Other Details:

Manuscript Id	:	IJSTEV3I9093
Published in	:	Volume : 3, Issue : 9
Publication Date	:	01/04/2017
Page(s)	:	334-337

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