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DOI: 10.14569/IJACSA.2017.081122
PDF

Cross-Organizational Information Systems: A Case for Educational Data Mining

Author 1: Gufran Ahmad Ansari
Author 2: Mohammad Tanvir Parvez
Author 3: Ali Al Khalifah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 11, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Establishing a new organization is becoming more difficult day by day due to the extremely competitive business environment. A new organization may not have enough experience to survive in the competitive market; which in turn may push down the reputation of the organization and the trust of the investors. The goal of this research project work is to design a framework for the cross-organizational information system for assessment and decision making using machine learning with the emphasis on the educational sector. In the proposed framework, organizations share information (even raw data) with each other and machine learning tool will be utilized for shared data analysis for decision making for a particular organization. A framework like this can help new organizations to get benefit from the experience of other ‘older’ organizations and institutions. Such knowledge-based machine learning system helps to improve the organizational capability of newly established institutions. As an implementation of the framework, we build a fuzzy system that can effectively work as a cross-platform system for educational entities.

Keywords: Information system; machine learning; cross-organization; decision making; education; fuzzy matching; data mining

Gufran Ahmad Ansari, Mohammad Tanvir Parvez and Ali Al Khalifah, “Cross-Organizational Information Systems: A Case for Educational Data Mining” International Journal of Advanced Computer Science and Applications(IJACSA), 8(11), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081122

@article{Ansari2017,
title = {Cross-Organizational Information Systems: A Case for Educational Data Mining},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081122},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081122},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {11},
author = {Gufran Ahmad Ansari and Mohammad Tanvir Parvez and Ali Al Khalifah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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