Interesting knowledge patterns in databases

Description

Knowledge management (KM) transforms a firm's knowledge-based resources into a source of competitive advantage. Knowledge creation, a KM process, deals with the conversion of tacit knowledge to explicit knowledge and moving knowledge from the individual level to the group, organizational, and interorganizational levels (Alavi & Leidner, 2001). Four modes¾namely, socialization, externalization, combination, and internalization¾create knowledge through the interaction and interplay between tacit and explicit knowledge. The "combination" mode consists of combining or reconfiguring disparate bodies of existing explicit knowledge (like documents) that lead to the production of new explicit knowledge (Choo, 1998). Transactional databases are a source of rich information about a firm's processes and its business environment. Knowledge Discovery in Databases (KDD), or data mining, aims at uncovering trends and patterns that would otherwise remain buried in a firm's operational databases. KDD is "the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data." (Fayyad, Piatetsky-Shapiro, & Smyth, 1996). KDD is a typical example of IT-enabled combination mode of knowledge creation (Alavi & Leidner, 2001).

Publication Date

1-4-2005

DOI

10.4018/978-1-59140-573-3.ch039

ISBN

978-1591405733

Publisher

IGI Global

Keywords

Knowledge management, KM, Knowledge Discovery in Databases, KDD, Data mining

Source Link URL

https://doi.org/10.4018/978-1-59140-573-3.ch039

Link to Full Text

Share

COinS