ABSTRACT
Keywords: Knowledge discovery, Knowledge discovery and data mining (KDDM), data mining, organizational performance
Contents What Is KDDM? ..................................................................................................2 Why KDDM? .......................................................................................................3 Opportunities for the Application of KDDM in Organizations .............................3 Purpose of This Book ............................................................................................4 References .............................................................................................................7
What Is KDDM? The academic conversations on KDDM started in the late 1980s and in the early 1990s, where opportunities of knowledge discovery in databases (KDD) were being observed. This period of discovery was crystallized during the first workshop on KDD in 1989, where there were reports on the viability of extracting different forms of knowledge from databases, and the experts from different areas, including machine learning, expert databases, knowledge acquisition, and fuzzy sets, were able to share their understanding and needs of organizational databases (PiateskyShapiro 1991). As a result, KDDM process models were designed to guide the management and implementation of these projects. The nine-step model developed by Fayyad et al. (1996a) is considered to be one of the seminal guides. Further academic (e.g., Cios et al. 2007; Sharma and Osei-Bryson 2010; Sharma et al. 2012) and practitioner (e.g., Shearer 2000) efforts continued in the succeeding decades.
