Discovery of data models using genetic programming

dc.contributor.author	Wijayaweera, WJLN
dc.contributor.author	Karunananda, AS
dc.date.accessioned	2013-10-21T02:25:26Z
dc.date.available	2013-10-21T02:25:26Z
dc.identifier.uri	http://dl.lib.mrt.ac.lk/handle/123/8442
dc.description.abstract	A central challenge and a common goal of AI and machine learning is to get a computer to solve a problem without explicitly programming. The field is known as automatic programming. This paper proposes a solution to address the difficulty of automatically discovering data models in any given data set using Genetic Programming which is a form of automatic programming. The proposed system will lead us to discover previously unknown data models in a data set and help to readily predict the outcomes of a given input data. The concept has been demonstrated by hypothetical data for the agricultural domain.
dc.language	en
dc.title	Discovery of data models using genetic programming
dc.type	Conference-Full-text
dc.identifier.year	2011
dc.identifier.conference	Joint National Conference on Information Technology in Agriculture
dc.identifier.place	Faculty of Information Technology, University of Moratuwa
dc.identifier.place	University of Ruhuna
dc.identifier.pgnos	pp. 34 - 40
dc.identifier.email	njaymax@gmail.com asoka@itfac.mrt.ac.lk