TY - GEN
T1 - Applying multi-dimensional scaling analysis for finding similarity knowledge in OLAP reports
AU - Hsu, Kevin Chihcheng
AU - Li, Ming Zhong
PY - 2010
Y1 - 2010
N2 - On Line Analysis Processing (OLAP) is a common solution that modern enterprises use to generate, monitor, share, and administrate their analysis reports. When daily, weekly, and/or monthly reports are generated or published by the OLAP operators, the report readers can only rely on their smart eyes to find out hidden rules, similar reports, or trend inside the potentially huge amount of reports. Data mining is a well-developed field for finding hidden rules inside the data itself. However, there is few techniques focus on finding hidden rules, similarity, or trend using OLAP reports as the unit of analysis. In this paper, we explore how to use Multi-Dimensional Scaling (MDS) on OLAP reports in order to automatically and effectively find the similarity knowledge of OLAP reports. We also address the appropriate presentation of this similarity knowledge to OLAP users.
AB - On Line Analysis Processing (OLAP) is a common solution that modern enterprises use to generate, monitor, share, and administrate their analysis reports. When daily, weekly, and/or monthly reports are generated or published by the OLAP operators, the report readers can only rely on their smart eyes to find out hidden rules, similar reports, or trend inside the potentially huge amount of reports. Data mining is a well-developed field for finding hidden rules inside the data itself. However, there is few techniques focus on finding hidden rules, similarity, or trend using OLAP reports as the unit of analysis. In this paper, we explore how to use Multi-Dimensional Scaling (MDS) on OLAP reports in order to automatically and effectively find the similarity knowledge of OLAP reports. We also address the appropriate presentation of this similarity knowledge to OLAP users.
KW - Data mining
KW - MDS
KW - Multi-Ddimensional scaling
KW - OLAM
KW - OLAP
UR - http://www.scopus.com/inward/record.url?scp=77952753682&partnerID=8YFLogxK
U2 - 10.1109/ICCEA.2010.204
DO - 10.1109/ICCEA.2010.204
M3 - 會議論文篇章
AN - SCOPUS:77952753682
SN - 9780769539829
T3 - 2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
SP - 269
EP - 275
BT - 2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
T2 - 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
Y2 - 19 March 2010 through 21 March 2010
ER -