Publication Type : Conference Paper
Publisher : IEEE
Source : Intelligent and Advanced Systems (ICIAS), 2010 International Conference on, IEEE (2010)
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2010
Abstract : Multi-level classification of web objects in caching is relatively an unexplored area. This paper proposes a novel caching scheme which utilizes a multi-level class information. A MLR (Multinomial Logistics Regression) based classifier is constructed using the information from web logs. Simulation results confirm that the model has good prediction capability and suggest that the proposed approach can improve the performance of the cache substantially.
Cite this Research Publication :
Dr. Sajeev G. P. and Sebastian, M. P., “A scheme for adaptive web caching based on multi level object classification”, in Intelligent and Advanced Systems (ICIAS), 2010 International Conference on, 2010