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International Journal of New Developments in Engineering and Society, 2017, 1(1); doi: 10.25236/IJNDES.00010​.

Research on Analysis and Improvement of Classification Algorithm of Data Mining Based on Neural Network

Author(s)

Yaze Yuan1, Mengmeng Su2

Corresponding Author:
Yaze Yuan
Affiliation(s)

1. Northwestern Polytechnical University, Xi’an, 710000, China
2. Shanghai Zhizi Network Technology Co., Ltd., Shanghai, 200000, China

Abstract

Data mining is an effective tool to dig out hidden information from the huge data, which is applied to every field of modern social life. Neural network is an important method of classification algorithm of data mining. This paper analyzes the basic process and common deficiencies of classification algorithm of data mining based on neural network, and gives the improved scheme to provide some references for the relevant researchers.

Keywords

Classification algorithm, Data mining,Neural network

Cite This Paper

Yaze Yuan and Mengmeng Su. Research on Analysis and Improvement of Classification Algorithm of Data Mining Based on Neural Network. International Journal of New Developments in Engineering and Society (2017) Vol.1, Num.1: 32-35.

References

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[2] Wang Lei, Wang Ruliang. Data Mining Based on Improved BP Neural Network Method [J]. Journal of Guangxi Teachers Education University (Natural Science Edition), 2016, 33(1): 79-83.
[3] Ding Hao. Analysis and Comparison of Commo nClassification Algorithms in Data Mining [J]. Journal of Heze University, 2015, 37(5): 47-50.
[4] Hao Xiaoli, Zhang Jing. Design and Realization of RBF Neural Network Classifier Based on Advanced Self-adaptive Clustering Algorithm [J]. Computer Science, 2014, 41(6): 260-263.