Association Rule Mining for Web Recommendation
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 10
Abstract
Web usage mining is the application of web mining to discover the useful patterns from the web in order to understand and analyze the behavior of the web users and web based applications. It is the emerging research trend for today’s researchers. It entirely deals with web log files which contain the user website access information. It is an interesting thing to analyze and understand the user behavior about the web access. Web usage mining normally has three categories: 1. Preprocessing, 2. Pattern Discovery and 3. Pattern Analysis. This paper proposes the association rule mining algorithms for better Web Recommendation and Web Personalization. Web recommendation systems are considered as an important role to understand customers’ behavior, interest, improving customer convenience, increasing service provider profits and future needs.
Authors and Affiliations
R. Suguna , D. Sharmila
Keywords
Related Articles
- EP ID EP125053
- DOI -
- Views 87
- Downloads 0
Handwritten Tamil Character Recognition and Conversion using Neural Network
Hand written Tamil Character recognition refers to the process of conversion of handwritten Tamil character into Unicode Tamil character. The scanned image is segmented into paragraphs using spatial space detection techn...
Novel Time Aware Regression Testing Technique
Regression testing comes into play when changes are made in the software. It is not possible to re-run all the previous test cases therefore, a minimization technique is required in order to reduce the test case suit. Th...
Supervised Learning Approach for Spam Classification Analysis using Data Mining Tools
E-mail is one of the most popular and frequently used ways of communication due to its worldwide accessibility, relatively fast message transfer, and low sending cost. The flaws in the e-mail protocols and the increasing...
Tree-kNN: A Tree-Based Algorithm for Protein Sequence Classification
The phylogenomic classification of protein sequences attempts to categorize a given protein within the evolutionary context of the entire family. It involves mainly four steps: selection of homologous sequences, multiple...
Structured System Test Suite Generation Process for Multi-Agent System
In recent years, Agent-Oriented Software Engineering (AOSE) methodologies are proposed to develop complex distributed systems based upon the agent paradigm. The implementation for such systems has usually the form of Mul...