Call For papers: Special Issue on: “Data Mining: Intelligent Data Discovery and Knowledge Management”

International Journal of Knowledge Management Studies (IJKMS)

Call For papers: Special Issue on: “Data Mining: Intelligent Data Discovery and Knowledge Management”

Guest Editors:
Professor Ali K. Kamrani and Professor Hamid R. Parsaei, University of Houston, USA
Mahammad Aloudat, Baker Oil Tools, USA

Data mining deals with the discovery of hidden knowledge, unexpected patterns and new rules from large databases. It is regarded as the key element of a much more elaborate process called knowledge discovery in databases, or KDD, which is closely linked to data warehousing. Data mining can bring significant gains to organisations, for example through better-targeted marketing and enhanced internal performance. The long-term goal of data mining is to create a self-learning organisation that makes optimal use of the information it generates.

The goal of this special issue is to cover a variety of topics and issues related to data mining with specific application to knowledge discovery. Each manuscript will be reviewed; the reviewers will be from a pool of academic and practitioners who have demonstrated to have worked in similar problem areas. The targeted readerships are professional, technical and academic (research directors, managers, professors, research associates, etc.)

For more information, subject coverage, notes for intending authors, submission dates and contact information, see the Journal Call for papers website.