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Math. Comput. Appl. 2017, 22(4), 45; doi:10.3390/mca22040045

Intelligent System for Data Tracking in Image Editing Company

1
Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China
2
Department of Computer Science and Technology, Royal University of Phnom Penh, Phnom Penh 12150, Cambodia
3
School of Public Affairs, University of Science and Technology of China, Hefei 230026, China
4
School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China
*
Author to whom correspondence should be addressed.
Received: 12 September 2017 / Revised: 25 October 2017 / Accepted: 30 October 2017 / Published: 9 November 2017
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Abstract

The success of data transaction in a company largely depends on the intelligence system used in its database and application system. The complex and heterogeneous data in the log file make it more difficult for users to manage data effectively. Therefore, this paper creates an application system that can manage data from the log file. A sample was collected from an image editing company in Cambodia by interviewing five customers and seven operators, who worked on the data files for 300 images. This paper found two results: first, the agent script was used for retrieving data from the log file, classifying data, and inserting data into a database; and second, the web interface was used for the viewing of results by the users. The intelligence capabilities of our application, together with a friendly web-based and window-based experience, allow the users to easily acquire, manage, and access the data in an image editing company. View Full-Text
Keywords: intelligent system; complex data; heterogeneous data; log file; image editing company intelligent system; complex data; heterogeneous data; log file; image editing company
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ngin, K.; Yat, Y.; Hafeez, R.O.; Ali Khuhro, S.; Sushchenko, M. Intelligent System for Data Tracking in Image Editing Company. Math. Comput. Appl. 2017, 22, 45.

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