Neighborhood Information-based Method for Multivariate Association Mining

Author:

Cheng Honghong1,Qian Yuhua2,Guo Yingjie2,Zheng Keyin2,Zhang Qingfu3

Affiliation:

1. School of Information, Shanxi University of Finance and Economics, and also with the Institute of Big Data Science and Industry, Shanxi University, Taiyuan 030006, Shanxi Province, China

2. Institute of Big Data Science and Industry, Key Laboratory of Computer Intelligence and China Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan 030006, Shanxi Province, China

3. Department of Computer Science, City University of Hong Kong, Hong Kong, and also with the Shenzhen Research Institute, City University of Hong Kong, Shenzhen 518057, China

Funder

National Key Research and Development Program of China

Research Project Supported by Shanxi Scholarship Council of China

National Natural Science Foundation of China

Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi

Young Scientists Fund of the Natural Science Foundation of Shanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Reference40 articles.

1. Ccmi: Classifier based conditional mutual information estimation;mukherjee;Proc Conf Uncertainty Artif Intell,2020

2. CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection

3. Association mining method based on neighborhood perspective

4. Multivariate maximal correlation analysis;nguyen;Proc Int Conf Mach Learn,2014

5. Gamma function;askey;NIST Handbook of Mathematical Functions,2010

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