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author:

Wang, J.-B. (Wang, J.-B..) [1] | Hu, X. (Hu, X..) [2]

Indexed by:

Scopus

Abstract:

Ontology-based case retrieval system, the efficiency of case retrieval will increase as the number of cases continue to lower. In this paper, a multi-dimensional case retrieval optimization algorithm, the algorithm through the multi-dimensional case dimensionality reduction into clusters of two-dimensional space, using a two-dimensional spatial clustering to represent a collection of case, and this two-dimensional spatial clustering to establish the R-tree spatial index, by the two retrieval methods to the multidimensional case retrieval. Proved that the method not only improves the accuracy of case retrieval, but also greatly improve the efficiency of case retrieval. © 2013 Springer-Verlag.

Keyword:

Case retrieval; R-tree index; Relative point; Relative vector

Community:

  • [ 1 ] [Wang, J.-B.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350001, Fujian, China
  • [ 2 ] [Hu, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350001, Fujian, China

Reprint 's Address:

  • [Hu, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350001, Fujian, China

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Source :

Lecture Notes in Electrical Engineering

ISSN: 1876-1100

Year: 2013

Volume: 211 LNEE

Page: 835-843

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Affiliated Colleges:

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