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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Preprocessing Techniques for Web Usage Mining
Authors Name: Faizan I Khandwani , Ashok P Kankale
Unique Id: IJSDR1604057
Published In: Volume 1 Issue 4, April-2016
Abstract: Web usage or log mining can be described as the discovery and analysis of access patterns of users through mining of log files. It is used to analysis Web log files and discovers user accessing patterns of Web pages; it can find user’s access patterns automatically and quickly from the vast Web log data, such as frequent access paths, frequent access page groups and user clustering. For analyzing the customer’s behavior, the data generated by the users visiting the website must be analyzed. The users’ accesses to Web sites are stored in server log files. This will provide foundation for decision making of organizations. But the data stored in these log files do not present an exact picture of the users’ accesses to the Web site. So preprocessing the web log data is a pre-requisite before this data can be used for mining tasks. It is a key technology in this mining activity. This preprocessed web data then will be suitable for web mining. Once the data preprocessing is done, the invalid data will be removed. Here we present various steps involved in preprocessing of web log files.
Keywords: Web Usage Mining, Web Server Logs, Data Preprocessing, Data cleaning, User Identification, Session Identification, Path Completion, Transactions Identification
Cite Article: "Preprocessing Techniques for Web Usage Mining", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 4, page no.330 - 334, April-2016, Available :http://www.ijsdr.org/papers/IJSDR1604057.pdf
Downloads: 000201508
Publication Details: Published Paper ID: IJSDR1604057
Registration ID:160214
Published In: Volume 1 Issue 4, April-2016
DOI (Digital Object Identifier):
Page No: 330 - 334
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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