Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/20776
DC Field | Value | Language |
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dc.contributor.author | Zdravevski, Eftim | en_US |
dc.contributor.author | Kulakov, Andrea | en_US |
dc.date.accessioned | 2022-07-14T11:35:23Z | - |
dc.date.available | 2022-07-14T11:35:23Z | - |
dc.date.issued | 2009-09-28 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/20776 | - |
dc.description.abstract | This work presents a system that facilitates prediction of the winner in a sport game. The system consists of methods for: collection of data from the Internet for games in various sports, preprocessing of the acquired data, feature selection and model building. Many of the algorithms for prediction and classification implemented in Weka (Waikato Environment for Knowledge Analysis) have been tested for applicability for this kind of problems and a comparison of the results has been made. | en_US |
dc.publisher | Springer, Berlin, Heidelberg | en_US |
dc.subject | Data acquisition, data processing, decision-making, prediction methods | en_US |
dc.title | System for Prediction of the Winner in a Sports Game | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | International conference on ICT innovations | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
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System_for_Prediction_of_the_Winner_in_a20160730-23089-iy4jkz-with-cover-page-v2.pdf | 1.02 MB | Adobe PDF | View/Open |
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