Research on High-Dimensional Data Reduction

Cuihua Tian; Yan Wang; Xueqin Lin; Jing Lin; Jiangshui Hong

Research on High-Dimensional Data Reduction

원문정보

Cuihua Tian, Yan Wang, Xueqin Lin, Jing Lin, Jiangshui Hong

보안공학연구지원센터(IJDTA) International Journal of Database Theory and Application Vol.9 No.1 2016.01 pp.87-96 SCOPUS

피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

In this paper, features of high-dimensional data are analyzed, and existing problems of the Canonical Correlation Analysis (CCA) are analyzed for a single view of a full supervised view data. In order to improve CCA, we introduce the method of classifier and present a Classifying to Reduce Correlation Dimensionality (CRCD). Meanwhile, combining big interval learning method, we propose the big correlation analysis (BCA). At last, experiments are respectively conducted by using artificial data set and UCI standard data set. The result shows that methods are feasible and effective.

Abstract
1. Introduction
2. High-Dimensional Data Mining
  2.1. High-Dimensional Data Mining Features
  2.2. The Data View
  2.3. Why the High-Dimensional Data to Dimensionality Reduction?
  2.4. The Mature Data Dimension Reduction Method
  2.5. Problems
3. Classifying to Reduce Correlation Dimensionality (CRCD)
  3.1. The Study of the CRCD
  3.2. The Verification Experiment
4. Big Correlation Analysis (BCA)
  4.1. The Study of the Big Correlation Analysis (BCA)
  4.2. The Verification Experiment
5. Conclusion
Reference

키워드

저자정보

Cuihua Tian school of computer and information engineering, Xiamen University of Technology, Fujian Xiamen 361024, China, Universities in Fujian Province Key Laboratory of Things Application Technology, Fujian, Xiamen, 361024, China
Yan Wang school of computer and information engineering, Xiamen University of Technology, Fujian Xiamen 361024, China
Xueqin Lin school of computer and information engineering, Xiamen University of Technology, Fujian Xiamen 361024, China
Jing Lin School of International Languages, Xiamen University of Technology, Xiamen 361024, China
Jiangshui Hong school of computer and information engineering, Xiamen University of Technology, Fujian Xiamen 361024, China

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