Title :
Slices Mining Based on Singular Value
Author :
Zhang, Lijie ; Yin, Haili ; Liu, Hui
Author_Institution :
Qingdao Technol. Univ., Qingdao
fDate :
July 30 2007-Aug. 1 2007
Abstract :
Slice is one of the major operations in on-line analysis processing which has played an important role in the application of decision support. Based on data cube, by mining the maximum singular value of the slices, a method was proposed in this paper to extract the inner rules of movement. Algebraic theories proved that it is feasible. And the numerical experiment also demonstrated that it is efficient.
Keywords :
algebra; data analysis; data mining; decision support systems; algebraic theory; data cube; decision support; online analysis processing; singular value; slices mining; Artificial intelligence; Data mining; Data warehouses; Distributed computing; Eigenvalues and eigenfunctions; Information analysis; Linear systems; Multidimensional systems; Nonlinear systems; Software engineering;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.268
