Paper Title:
Research on Outlier Mining Algorithm Oriented to Traffic Information
  Abstract

This paper designs a new outlier mining algorithm based on distance through introducing the "key attribute", which reduces the amount of data mining and increases the efficiency of outlier mining, simultaneously, improves the common distance measure and calculates with the improved Modifing Weighted Manhattan Distance(MWMD), the improved mining algorithm cancels the requirements of the parameter setting in the case of without affecting the mining results and gives the isolation degree of outliers.

  Info
Periodical
Advanced Materials Research (Volumes 299-300)
Edited by
Jianzhong Wang and Jingang Qi
Pages
1312-1315
DOI
10.4028/www.scientific.net/AMR.299-300.1312
Citation
W. G. Xie, H. H. Wang, X. C. Gu, Y. F. Guo, "Research on Outlier Mining Algorithm Oriented to Traffic Information", Advanced Materials Research, Vols. 299-300, pp. 1312-1315, 2011
Online since
July 2011
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Price
$32.00
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