Track: Decision Technologies and Service Sciences
Minitrack: Knowledge Discovery for Managerial Decision Support


Data mining is the process of discovering valid, novel, potentially useful, and ultimately understandable patterns (i.e., nuggets of knowledge) in data stored in structured databases, where the data is organized in records populated by categorical, ordinal and continuous variables. Text mining, on the other hand, refers to the very same discovery process as it applies to unstructured data sources including business documents, customer comments, Web pages, and XML files.

This mini track focuses on information systems and decision support aspects of data mining, with emphasis on data, text and Web mining. A representative list of general topic areas covered in this minitrack (which is not ment to be complete or comprehensive) is given below.

• New methods and algorithms of data/text mining

• The process and new methodologies of conducting data/text mining

• Ethical and privacy issues in data/text mining

• Novel applications of data mining for better decision making

• Data pre-processing related aspect of data/text mining, such as data characterization, data cleaning, data integration, data sampling, data reduction, data visualization, etc.

Minitrack Co-chairs:

Dursun Delen (Primary Contact)
Department of MSIS
Spears School of Business
Oklahoma State University
700 N. Greenwood Ave. Tulsa, OK 74106
Phone: +1-918-594-8283
Fax: +1-918-594-8281
Email: dursun.delen@okstate.edu

Haluk Demirkan
Department of Information Systems
W. P. Carey School of Business
P.O. Box 874606
Arizona State University
Tempe, AZ 85287-4606
Phone: 480-965-9067
Email: haluk.demirkan@asu.edu