Title :
Research of OLAM Module Based on SQL Server
Author :
Rao, Wenbi ; Guo, Yali ; Wang, Junqiang
Author_Institution :
Wuhan Univ. of Technol., Wuhan
Abstract :
The on-line analytical mining (OLAM) seamless combines the on-line analytical process (OLAP) and the data mining (DM) techniques. It not only contains both advantages respectively, but also proposes a new highlight in the whole fields of data analysis. This paper will use the seamless integration techniques, provided by SQL SERVER 2005, to study OLAM technique.
Keywords :
SQL; data analysis; data mining; OLAM module; SQL SERVER 2005; data analysis; data mining; online analytical mining; online analytical process; Clustering algorithms; Data analysis; Data mining; Data warehouses; Databases; Delta modulation; Iterative algorithms; Memory; Multidimensional systems; User interfaces; Data Mining; On-line Analytical Mining (OLAM); On-line Analytical Process (OLAP); SQL SERVER 2005;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.741
