Data mining for knowledge management in technology enhanced learning

Authors:
Jelena Mamcenko;Inga Beleviciute
Affiliations:
Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania;Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania
Venue:
AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
Year:
2007

Citing 7
Cited 1

Advances in knowledge discovery and data mining

Advances in knowledge discovery and data mining
Working Knowledge: How Organizations Manage What They Know

Working Knowledge: How Organizations Manage What They Know
Reality Check for Data Mining

IEEE Expert: Intelligent Systems and Their Applications
Knowledge management technology

IBM Systems Journal
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
Special Issue: Knowledge Management

Journal of Management Information Systems
Review: Knowledge management and knowledge management systems: conceptual foundations and research issues

MIS Quarterly

A knowledge management practice investigation in Romanian software development organizations

WSEAS Transactions on Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

A huge amount of data, relevant information must be identified, structured, and directed toward work processes to effectively facilitate or enable the achievement of goals and end products. Knowledge management structures, maintains, and provides access to knowledge within information systems. Data mining extracts relevant tacit knowledge from information system assets through data correlation. The paper describes how data mining techniques can be used for knowledge management in technology enhanced learning.