Data Warehouse Algorithm Study with a Novel Mutation Operator

Jian Cao; Gang Li; Cheng Tao Zhang

doi:10.4028/www.scientific.net/AMM.602-605.3388

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An Evaluation Model Based on Rough Sets
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Fourth-Order Cumulants Beamforming for Direction of Arrival Estimation
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Data Warehouse Algorithm Study with a Novel Mutation Operator
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Research on a New Type of Multi-Link Variable Compression Ratio by Interpolation Algorithm of Zadoff-Chu Sequence
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Data Warehouse Algorithm Study with a Novel...

Data Warehouse Algorithm Study with a Novel Mutation Operator

Abstract:

Focused on the issue of establishing data warehouse in data mining study, the study also considered the current situation of researches into dynamic plan recognition. This paper aims to enhance the performance of PSO in complex optimization problems and proposes an improved PSO variant by incorporating a novel mutation operator. The results obtained extend and improve the corresponding theorem for independent identically distributed random variables sequence.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3388-3391

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3388

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Online since:

August 2014

Authors:

Jian Cao*, Gang Li, Cheng Tao Zhang

Keywords:

Data Mining (DM), Mutation, Recognition

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