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.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.identifier.conference | Joint National Conference on Information Technology in Agriculture | |
| dc.identifier.email | njaymax@gmail.com asoka@itfac.mrt.ac.lk | |
| dc.identifier.pgnos | pp. 34 - 40 | |
| dc.identifier.place | Faculty of Information Technology, University of Moratuwa | |
| dc.identifier.place | University of Ruhuna | |
| dc.identifier.uri | http://dl.lib.mrt.ac.lk/handle/123/8442 | |
| dc.identifier.year | 2011 | |
| dc.language | en | |
| dc.title | Discovery of data models using genetic programming | |
| dc.type | Conference-Full-text |