Study of Decision Tree Classification Algorithms using Matrimonial System
Citation
Pallavi Mude, Prof Rahila Sheikh "Study of Decision Tree Classification Algorithms using Matrimonial System", International Journal of Computer & organization Trends (IJCOT), V5(2):1-6 Mar - Apr 2015, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
Marriage information has always been an integral part of the knowledge base in any civilized society. Usually some agencies and other de-institutionalized sources become operative in producing and transferring great variety of matrimonial information. In recent time, online matrimony portals accelerate the opportunities of providing newer matrimony services for sharing matrimonial information more comfortably and selectively, though often criticized in terms of adequacy and authenticity of such information. This paper aims to present the matrimonial information system using web data mining. Design and implementation of matrimonial system is based on web data mining which is the application of data mining technique help us to determine pattern from web. The performance of matrimony system uses the C4.5 with bagging and CART decision tree classification algorithm for classifying the perfect match.
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Keywords
Data mining, Matrimonial System, Decision Tree, Web Data Mining, C4.5, CART.