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A framework for selecting the optimal technique suitable for application in a data mining task

This paper presents a conceptual framework for selection of data mining technique based on the 8 selection criteria’s: optimization capability, computation complexity, flexibility, interpretability, scalability, ease of problem encoding, autonomy, and accessibility. The framework is suitable for cho...

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Main Authors: Chiroma, Haruna, Abdul-Kareem, Sameem, Abubakar, Adamu
Format: Book Chapter
Language:English
Published: SpringerLink 2013
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/37927/1/A_Framework_for_Selecting_the_Optimal_Technique_Suitable_for_Application_in_a_Data_Mining_Task.pdf
http://irep.iium.edu.my/37927/
http://link.springer.com/chapter/10.1007%2F978-3-642-40861-8_25
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spelling my.iium.irep.379272014-09-02T02:33:46Z http://irep.iium.edu.my/37927/ A framework for selecting the optimal technique suitable for application in a data mining task Chiroma, Haruna Abdul-Kareem, Sameem Abubakar, Adamu T Technology (General) This paper presents a conceptual framework for selection of data mining technique based on the 8 selection criteria’s: optimization capability, computation complexity, flexibility, interpretability, scalability, ease of problem encoding, autonomy, and accessibility. The framework is suitable for choosing appropriate technique for application in a particular task of data mining. The paper has set the stage for further research work. SpringerLink 2013-09 Book Chapter REM application/pdf en http://irep.iium.edu.my/37927/1/A_Framework_for_Selecting_the_Optimal_Technique_Suitable_for_Application_in_a_Data_Mining_Task.pdf Chiroma, Haruna and Abdul-Kareem, Sameem and Abubakar, Adamu (2013) A framework for selecting the optimal technique suitable for application in a data mining task. In: Future information technology. Lecture Notes in Electrical Engineering, 276 . SpringerLink, Springer-London, pp. 163-169. ISBN 978-3-642-40860-1 (P), 978-3-642-40861-8 (O) http://link.springer.com/chapter/10.1007%2F978-3-642-40861-8_25 10.1007/978-3-642-40861-8_25
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Chiroma, Haruna
Abdul-Kareem, Sameem
Abubakar, Adamu
A framework for selecting the optimal technique suitable for application in a data mining task
description This paper presents a conceptual framework for selection of data mining technique based on the 8 selection criteria’s: optimization capability, computation complexity, flexibility, interpretability, scalability, ease of problem encoding, autonomy, and accessibility. The framework is suitable for choosing appropriate technique for application in a particular task of data mining. The paper has set the stage for further research work.
format Book Chapter
author Chiroma, Haruna
Abdul-Kareem, Sameem
Abubakar, Adamu
author_facet Chiroma, Haruna
Abdul-Kareem, Sameem
Abubakar, Adamu
author_sort Chiroma, Haruna
title A framework for selecting the optimal technique suitable for application in a data mining task
title_short A framework for selecting the optimal technique suitable for application in a data mining task
title_full A framework for selecting the optimal technique suitable for application in a data mining task
title_fullStr A framework for selecting the optimal technique suitable for application in a data mining task
title_full_unstemmed A framework for selecting the optimal technique suitable for application in a data mining task
title_sort framework for selecting the optimal technique suitable for application in a data mining task
publisher SpringerLink
publishDate 2013
url http://irep.iium.edu.my/37927/1/A_Framework_for_Selecting_the_Optimal_Technique_Suitable_for_Application_in_a_Data_Mining_Task.pdf
http://irep.iium.edu.my/37927/
http://link.springer.com/chapter/10.1007%2F978-3-642-40861-8_25
_version_ 1643611304446918656
score 13.211869

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