• Corpus ID: 14744420

Institutional Knowledge to Institutional Intelligence: A Data Mining Enabled Knowledge Management Approach

  title={Institutional Knowledge to Institutional Intelligence: A Data Mining Enabled Knowledge Management Approach},
  author={Bhusry Mamta},
Significant amount of knowledge is created in Higher Educational Institutions (HEIs) as a result of the academic, research and administrative activities. Deployment of the knowledge generated towards performance enhancement, decision making and process improvement will yield effective results such as enhanced planning and development, better administrative services, improved teaching and learning processes, effective faculty and student performance evaluation, efficient research, and better… 

Figures and Tables from this paper

The role of knowledge management in institutional strategy development and competitiveness at leading African universities

The role of knowledge management as a strategic intervention in higher education in developing economies has not been studied extensively. Higher education plays a central role in a country’s economy

Generating Placement Intelligence in Higher Education Using Data Mining

This paper presents a comprehensive statistical experiment to identify the number of students those are ready for placements and students those are not fulfilling the basic criteria for placement

The strategic role of knowledge management in African universities.



Higher Education in Sudan and Knowledge Management Applications

  • N. WilliamG. Amin
  • Education
    2006 2nd International Conference on Information & Communication Technologies
  • 2006
Knowledge is a foundation of nation building. The discipline of knowledge management has become a hot topic in business because of its prospects for dramatic improvement in organizational

Application of enhanced analysis model for data mining processes in higher educational system

One of the most important facts in higher education system is quality. It concerns with all the circumstances that allow decision makers to better evaluate and enhance the higher educational

Is higher education ready for knowledge management

Higher education institutions are in the knowledge business, since they are involved in knowledge creation and dissemination and learning. Examines the applicability of the concepts of knowledge

Effective educational process: a data‐mining approach

A framework for an effective educational process using data‐mining techniques to uncover the hidden trends and patterns and making accuracy based predictions through a higher level of analytical sophistication in the process of counselling students is proposed.

A new model for using data mining technology in higher educational systems

  • N. DelavariM. ShiraziM. R. Beikzadeh
  • Education, Computer Science
    Information Technology Based Proceedings of the FIfth International Conference onHigher Education and Training, 2004. ITHET 2004.
  • 2004
The main idea in this work is that the hidden patterns, associations, and anomalies that are discovered by data mining techniques can help bridging this knowledge gap in higher educational systems.

Empirical Investigation of Critical Success Factors for Implementing Business Intelligence Systems in Multiple Engineering Asset Management Organisations

A multiple-case design was used to examine how these CSFs could be implemented by five EAMOs and reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.


This research aims at discovering knowledge from massive data present in database of higher educational institution based on data mining and using predictive models including multiple regression, non-linear and logistic regression, to predict the critical student issues.

Data Mining: An Overview from a Database Perspective

This article provides a survey, from a database researcher's point of view, on the data mining techniques developed recently, a classification of the available data mining Techniques, and a comparative study of such techniques is presented.

Data Warehousing, Data Mining, and OLAP

Intended for IS professionals as well as strategic planners, this fascinating book can be well relied upon as the essential reference to the standards, tools, technologies, and possibilities of data warehousing today.

CRISP-DM 1.0: Step-by-step data mining guide

The CRISP-DM process model is described, including an introduction to the CRISp-DM methodology, the CRisP- DM reference model, theCRISP -DM user guide and the CR ISP-DL reports, as well as an appendix with additional useful and related information.