Interactive visual search system based on machine learning algorithm
Joint Authors
al-Fayyumi, Anas
al-Ghanim, Muhammad Hasan Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 1A(s) (31 Dec. 2016), pp.150-155, 6 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a tool that enables non-technical end-users to use free-form queries in exploring a large scale datasets with simple and interactive direct technique.
The proposed approach is based on effective integration of different techniques, such as data mining, visualization and Human-Computer Interaction (HCI).
The proposed model has been incorporated into a prototype developed as a web-based application using different programming languages and software tools.
The system has been implemented based on a real dataset, whereas the obtained results indicate the efficiency of such approach.
American Psychological Association (APA)
al-Fayyumi, Anas& al-Ghanim, Muhammad Hasan Muhammad. 2016. Interactive visual search system based on machine learning algorithm. The International Arab Journal of Information Technology،Vol. 13, no. 1A(s), pp.150-155.
https://search.emarefa.net/detail/BIM-758308
Modern Language Association (MLA)
al-Fayyumi, Anas& al-Ghanim, Muhammad Hasan Muhammad. Interactive visual search system based on machine learning algorithm. The International Arab Journal of Information Technology Vol. 13, no. 1A (2016), pp.150-155.
https://search.emarefa.net/detail/BIM-758308
American Medical Association (AMA)
al-Fayyumi, Anas& al-Ghanim, Muhammad Hasan Muhammad. Interactive visual search system based on machine learning algorithm. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 1A(s), pp.150-155.
https://search.emarefa.net/detail/BIM-758308
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 155
Record ID
BIM-758308