Data Mining and Its Applications for Knowledge Management: A Literature Review from 2007 to 2012

TL;DR

This literature review examines how data mining techniques from 2007 to 2012 have been applied to support various aspects of knowledge management across different datasets, tasks, and tools.

Contribution

It provides a comprehensive classification and analysis of data mining applications in knowledge management from 2007 to 2012, highlighting key techniques and their roles.

Findings

Data mining supports knowledge resource management

Various data mining tasks are utilized in knowledge management

Applications span multiple knowledge types and datasets

Abstract

Data mining is one of the most important steps of the knowledge discovery in databases process and is considered as significant subfield in knowledge management. Research in data mining continues growing in business and in learning organization over coming decades. This review paper explores the applications of data mining techniques which have been developed to support knowledge management process. The journal articles indexed in ScienceDirect Database from 2007 to 2012 are analyzed and classified. The discussion on the findings is divided into 4 topics: (i) knowledge resource; (ii) knowledge types and/or knowledge datasets; (iii) data mining tasks; and (iv) data mining techniques and applications used in knowledge management. The article first briefly describes the definition of data mining and data mining functionality. Then the knowledge management rationale and major knowledge management tools integrated in knowledge management cycle are described. Finally, the applications of data mining techniques in the process of knowledge management are summarized and discussed.