International Journal of Network Security & Its Applications (IJNSA) - ERA, WJCI Indexed

International Journal of Network Security & Its Applications (IJNSA) - ERA, WJCI Indexed

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

A New Hybrid Algorithm for Business Intelligence Recommender System

P.Prabhu and N.Anbazhagan, Alagappa University, India

Abstract

Business Intelligence is a set of methods, process and technologies that transform raw data into meaningful and useful information. Recommender system is one of business intelligence system that is used to obtain knowledge to the active user for better decision making. Recommender systems apply data mining techniques to the problem of making personalized recommendations for information. Due to the growth in the number of information and the users in recent years offers challenges in recommender systems. Collaborative, content, demographic and knowledge-based are four different types of recommendations systems. In this paper, a new hybrid algorithm is proposed for recommender system which combines knowledge based, profile of the users and most frequent item mining technique to obtain intelligence.

Keywords

Business Intelligence, Frequent Itemset , k-means Clustering, Data Mining, Decision Making, Recommender system, E-commerce

Original Source URL: https://airccse.org/journal/nsa/6214nsa04.pdf

Volume URL: https://airccse.org/journal/jnsa14_current.html