Understanding user behavior through web utilization mining

Title

Understanding user behavior through web utilization mining

Creator

Ramawat S.; Das D.

Description

This paper is focused on the efficiency of applications in Web Mining Algorithm for web log analysis which can be applied to identify user behavior and the context related to the pattern of an e-commerce website. The main objective is to find user behavior over the internet which can be done through the branch of web mining i.e., web utilization mining. So, it is mainly focused on learning the behavior of web user with their interaction with websites and application of web to extract hidden knowledge and information from World Wide Web. This motive can be accessed from the huge web log data and this data will be available in a log file of the server. Thus, the web server log file includes hidden knowledge and information of a visited user on web. This article provides a survey and analysis of current web mining system and technologies. Therefore, we implement how web mining techniques can apply to the web personalization by providing an efficient algorithm. 2018 IAEME Publication. All rights reserved.

Source

International Journal of Civil Engineering and Technology, Vol-9, No. 3, pp. 522-532.

Date

2018-01-01

Publisher

IAEME Publication

Subject

Apriori all; Customer behavior; Web server log-file; Web utilization mining

Coverage

Ramawat S., Department of Computer Science, Christ University, Bangalore, India; Das D., Department of Computer Science, Christ University, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 9766308

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044503328&partnerID=40&md5=d044ad3b975dfbee54f95071fb1c8339