Cross-Organizational Information Systems: A Case for Educational Data Mining
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 11
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.
Authors and Affiliations
Gufran Ahmad Ansari, Mohammad Tanvir Parvez, Ali Al Khalifah
Keywords
Related Articles
- EP ID EP240655
- DOI 10.14569/IJACSA.2017.081122
- Views 91
- Downloads 0
Enhancing the Administration of National Examinations using Mobile Cloud Technologies: A Case of Malawi National Examinations Board
Technological advances and the search for efficiency have catalyzed recently a migration from paper-and-pencil based way of doing things to computer-based in education and training at all levels with its drivers being fa...
A Proposed Architectural Model for an Automatic Adaptive E-Learning System Based on Users Learning Style
It has been established through literature that, if an e-learning system could adapt to learning characteristics of learners, it will increase learning performance and content knowledge acquisition of learners. This pape...
Impact of Heterogeneous Deployment on Source Initiated Reactive Approach
Selection of an optimal number of high energy level nodes and the most appropriate heterogeneity level is a prerequisite in the heterogeneous deployment of wireless sensor network, and it serves several purposes like enh...
Design and Implementation for Multi-Level Cell Flash Memory Storage Systems
The flash memory management functions of write coalescing, space management, logical-to-physical mapping, wear leveling, and garbage collection require significant on-going computation and data movement. MLC flash memory...
OntoDI: The Methodology for Ontology Development on Data Integration
The implementations of data integration in current days have many issues to be solved. Heterogeneity of data with non-standardization data, data conflicts between various data sources, data with a different representatio...