The week's pick
Reseach Article
Comparative Study of Recommendation Algorithms and Systems using WEKA
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 110 - Number 3 |
| Year of Publication: 2015 |
| Authors: Lokesh S. Katore, J.s.umale |
10.5120/19295-0731
|
Lokesh S. Katore, J.s.umale . Comparative Study of Recommendation Algorithms and Systems using WEKA. International Journal of Computer Applications. 110, 3 ( January 2015), 14-17. DOI=10.5120/19295-0731
Abstract
Recommendation systems now days are the heart of success stories for business and optimization of resources. The accurate prediction of business decision accurately depends on heuristic algorithms used for analytics. Classical algorithms used for the data mining find their utility to perform with the new challenges considering key factors for improvement. This paper presents the performance of the specific algorithms of the data mining class in view to observe their suitability for recommender systems.
References
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- Dr. Neeraj Bhargava, Girja Sharma, Dr. Ritu Bhargava, Manish Mathuria; International Journal of Advanced Research in Computer Science and Software Engineering
- Ms S. Vijayarani ,Ms M. Muthulakshmi; Comparative Analysis of Bayes and Lazy Classification Algorithms.
- Sanidhya Painuli,M. Elangovan, V. Sugumaran; Tool condition monitoring using K-star algorithm
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