Automated Data Mining Techniques: A Critical Literature Review
Sohail Asghar, Khalid Iqbal · 2009
Data mining has emerged as one of the major research domain in the recent decades in order to extract implicit and useful knowledge. This knowledge can be comprehended by humans easily. Initially, this knowledge extraction was computed and evaluated manually using statistical techniques. Subsequently,semi-automated data mining techniques emerged because of the advancement in the technology. Such advancement was also in the form of storage which increases the demands of analysis. In such case, semi-automated techniques have become inefficient. Therefore,automated data mining techniques were introduced to synthesis knowledge efficiently. Consequently, in this paper, we focused on automated data mining techniques.We have decided to critically reviewed literature on these techniques. We have highlighted the strengths and limitations of these automated techniques. Consequently,the significance of this paper is to provide a useful resource to academia as well as researchers in the form of concise literature on automated data mining techniques.