A combination of variable selection and data mining techniques for high-dimensional statistical modelling

ISSN： 1756-7017

Source： International Journal of Information and Decision Sciences, Vol.5, Iss.2, 2013-05, pp. : 154-168

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Feature selection for high-dimensional data

By Destrero Augusto

Computational Management Science, Vol. 6, Iss. 1, 2009-02 ,pp. : 25-40

Springer Publishing Company

Access to resources Recommend Favorite

Particle swarm optimizer for variable weighting in clustering high-dimensional data

By Lu Yanping Wang Shengrui Li Shaozi Zhou Changle

Machine Learning, Vol. 82, Iss. 1, 2011-01 ,pp. : 43-70

Springer Publishing Company

Access to resources Recommend Favorite

Leveraging cooperation for parallel multi‐objective feature selection in high‐dimensional EEG data

CONCURRENCY AND COMPUTATION: PRACTICE & EXPERIENCE (ELECTRONIC), Vol. 27, Iss. 18, 2015-12 ,pp. : 5476-5499

John Wiley & Sons Inc

Access to resources Recommend Favorite

Querying high-dimensional data in single-dimensional space

By Yu Cui

The VLDB Journal, Vol. 13, Iss. 2, 2004-05 ,pp. : 105-119

Springer Publishing Company

Access to resources Recommend Favorite

Improving Data Quality on Big and High-Dimensional Data

By Akerkar Rajendra

Journal of Bioinformatics and Intelligent Control, Vol. 1, Iss. 2, 2012-12 ,pp. : 155-162

American Scientific Publishers

Access to resources Recommend Favorite