A DESCRIPTIVE FRAMEWORK FOR THE FIELD OF DATA MINING AND KNOWLEDGE DISCOVERY

Yi Peng (), Gang Kou (), Yong Shi () and Zhengxin Chen ()
Additional contact information
Yi Peng: School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China
Gang Kou: School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China
Yong Shi: CAS Research Center on Fictitious Economy and Data Sciences, Beijing 100080, China;
Zhengxin Chen: College of Information Science & Technology, University of Nebraska at Omaha, NE 68182, USA

International Journal of Information Technology & Decision Making (IJITDM), 2008, vol. 07, issue 04, 639-682

Abstract: Despite the rapid development, the field of data mining and knowledge discovery (DMKD) is still vaguely defined and lack of integrated descriptions. This situation causes difficulties in teaching, learning, research, and application. This paper surveys a large collection of DMKD literature to provide a comprehensive picture of current DMKD research and classify these research activities into high-level categories using grounded theory approach; it also evaluates the longitudinal changes of DMKD research activities during the last decade.

Keywords: Grounded theory; knowledge discovery; descriptive framework; document clustering (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (37)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622008003204
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:07:y:2008:i:04:n:s0219622008003204

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622008003204

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().