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Uma Maheswari, S.
- An Effective System for Web Page Recommendation Using Pattern Mining Algorithms
Abstract Views :286 |
PDF Views:2
Authors
Affiliations
1 Department of Information Technology, SCSVMV University, Enathur, Kancheepuram, Tamilnadu, IN
2 Department of ECE, Prathyusha Institute of Technology and Management, Chennai, Tamilnadu, IN
1 Department of Information Technology, SCSVMV University, Enathur, Kancheepuram, Tamilnadu, IN
2 Department of ECE, Prathyusha Institute of Technology and Management, Chennai, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 7, No 10 (2015), Pagination: 338-347Abstract
Web usage mining is the application of data mining techniques to discover usage patterns from web data, in order to understand and better serve the needs of web-based applications. Web usage mining is parsed into three distinctive phases such as preprocessing, pattern discovery and pattern analysis. Analyzing data through web usage mining can help effective web site management, creating adaptive Web sites, business and support services, personalization, network traffic flow analysis and etc.The aim of this paper is to give web page recommendations with help of preprocessed, analyzed web log data and user profile. In this paper combined effort of clustering and association rule mining is applied for pattern discovery which helps in finding effective usage patterns. This recommendation system provides recommendations based on user's navigational patterns and gives suitable recommendations to cater to current needs of users. The experimental results performed on real usage data show a significant improvement in the recommendation effectiveness of the proposed system.Keywords
Web Usage Mining, Web Log, Clustering, Association Rule Mining.- Prediction of User Navigation Patterns Using Knowledge from Web Log Data
Abstract Views :349 |
PDF Views:2
Authors
Affiliations
1 SCSVMV University, Kanchipuram, IN
2 Prathyusha Institute of Tech & Mgnt, Chennai, IN
1 SCSVMV University, Kanchipuram, IN
2 Prathyusha Institute of Tech & Mgnt, Chennai, IN