DocumentCode :
723015
Title :
Classification of enjoy sport problem using version spaces and the Candidate Elimination algorithm
Author :
Babu, R. Veera ; Kumar, B. Siva Ayyappa ; Gargi, M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Vignan´s Lara Inst. of Technol. & Sci., Guntur, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper adopts Version Space and the Candidate Elimination approach to determine whether a person enjoys favorite water sport or not. This algorithm approach uses different kinds of attributes to predict the value of Enjoy Sport of an arbitrary day. We derive Specific hypothesis `S´ and generalized hypotheses `G´ sets which finally results in the version space with all describable consistent hypothesis. In this we also gave the confidence rating for approximating a Boolean-valued function from the given examples.
Keywords :
Boolean functions; pattern classification; Boolean-valued function; candidate elimination algorithm; classification; enjoy sport problem; version space; water sport; Approximation algorithms; Classification algorithms; Computer science; Computers; Testing; Training; Wind forecasting; Boolean-valued function; Class label; Confidence rating; Consistent Hypothesis; Enjoy sport; General Hypothesis; Specific Hypothesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location :
Nagercoil
Type :
conf
DOI :
10.1109/ICCPCT.2015.7159351
Filename :
7159351
Link To Document :
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