Data Mining: A Database Perspective.
Mauro Sérgio R. de Sousa, Marta Mattoso, Nelson F. F. Ebecken · 1970
Data mining on large databases has been a major concern in research community, due to the difficulty of analyzing huge volumes of data using only traditional OLAP tools. This sort of process implies a lot of computational power, memory and disk I/O, which can only be provided by parallel computers. We present a discussion of how database technology can be integrated to data mining techniques. Finally, we also point out several advantages of addressing data consuming activities through a tight integration of a parallel database server and data mining techniques. 1 Introduction Data mining techniques have increasingly been studied 7;9;21 , especially in their application in real-world databases. One typical problem is that databases tend to be very large, and these techniques often repeatedly scan the entire set. Sampling has been used for a long time, but subtle differences among sets of objects become less evident. This work means to provide an overview of some important data mining...