The evaluation and comparative study with a new clustered based machine learning algorithm
Joint Authors
al-Umari, Ala al-Din
Jamil, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 3, Issue 4 (31 Oct. 2006), pp.273-282, 10 p.
Publisher
Publication Date
2006-10-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper, a clustering based machine learning algorithm called Clustering Algorithm System (CAS) is introduced.
The CAS algorithm is tested to evaluate its performance and find fruitful results.
We have been presented some heuristics to facilitate machine-learning authors to boost up their research works.
The InfoBase of the Ministry of Civil Services is used to analyze the CAS algorithm.
The CAS algorithm was compared with other machine learning algorithms like UNIMEM, COBWEB, and CLASSIT and was found to have some strong points over them.
The proposed algorithm combined advantages of two different approaches to machine learning.
The first approach is learning from examples, CAS supports single and multiple inheritance and exceptions.
CAS also avoids probability assumptions which are well understood in concept formation.
The second approach is learning by observation.
CAS applies a set of operators that have proven to be effective in conceptual clustering.
We have shown how CAS builds and searches through a clusters hierarchy to incorporate or characterize an object.
American Psychological Association (APA)
al-Umari, Ala al-Din& Jamil, Muhammad. 2006. The evaluation and comparative study with a new clustered based machine learning algorithm. The International Arab Journal of Information Technology،Vol. 3, no. 4, pp.273-282.
https://search.emarefa.net/detail/BIM-11968
Modern Language Association (MLA)
al-Umari, Ala al-Din& Jamil, Muhammad. The evaluation and comparative study with a new clustered based machine learning algorithm. The International Arab Journal of Information Technology Vol. 3, no. 4 (Oct. 2006), pp.273-282.
https://search.emarefa.net/detail/BIM-11968
American Medical Association (AMA)
al-Umari, Ala al-Din& Jamil, Muhammad. The evaluation and comparative study with a new clustered based machine learning algorithm. The International Arab Journal of Information Technology. 2006. Vol. 3, no. 4, pp.273-282.
https://search.emarefa.net/detail/BIM-11968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 281-282
Record ID
BIM-11968