Miner*: A Weighted Distance Sum based Outlier Mining System of Star ...
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To address this problem, we propose a new outlier mining algorithm – Miner* – that makes use of information entropy and Weighted Distance Sum to substantially ...
Sep 2, 2016 · Existing distance-based outlier mining methods do not consider the impact of each attribute's importance degree, thereby resulting in poor ...
The real-world datasets are the star spectrum of characteristic data released by the China's National Solar Observatory [34] .
Chaowei Zhang, Jifu Zhang, Xiao Qin, Sulan Zhang: Miner*: A Weighted Distance Sum based Outlier Mining System of Star Spectrum Data. Int. J. Uncertain.
In this paper, an outlier mining algorithm based on characteristic attribute subspace is presented. Firstly, the concept of attribute entropy is introduced to ...
IEEE Computer Society, (2009 )Miner*: A Weighted Distance Sum based Outlier Mining System of Star Spectrum Data.C. Zhang, J. Zhang, X. Qin, and S. Zhang ...
Miner*: A Weighted Distance Sum based Outlier Mining System of Star Spectrum Data. Published in: International Journal of Uncertainty, Fuzziness & Knowledge ...
Joe Celko's Data, Measurements, and Standards in SQL. Joe Celko. Information Modeling and Relational Databases, 2nd Edition. Terry Halpin, Tony Morgan.
The preliminary experimental results based on SDSS star spectrum data show that the system is workable for outlier mining of celestial body spectrum data, and a ...
Missing: Weighted Sum
This paper deals with finding outliers (ex- ceptions) in large, multidimensional datasets. The identification of outliers can lead to the.
Missing: Star Spectrum