Intelligent computing system based on pattern recognition and data mining algorithms

被引:54
|
作者
Zhang, Junlin [1 ]
Williams, Samuel Oluwarotimi [2 ]
Wang, Haoxiang [3 ,4 ]
机构
[1] Xian Univ Architecture & Technol, Xian, Shaanxi, Peoples R China
[2] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
[3] Cornell Univ, Ithaca, NY 14853 USA
[4] GoPercept Lab, R&D Ctr, Ithaca, NY USA
来源
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS | 2018年 / 20卷
关键词
Pattern recognition; Data mining; Intelligent systems; Technologies; Algorithms; INTERNET;
D O I
10.1016/j.suscom.2017.10.010
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The integration of intelligent system mainly includes the application of intelligent technology, such as artificial intelligence and computational intelligence method, which is used in different levels of the system. This paper introduces the application and technology of several intelligent system integrations, the advantages and disadvantages of learning theory and expert system. Neural network is applied in intelligent systems and we use scope reviewed several new development of intelligent technology, plus this paper describes the development direction of the intelligent system. This paper introduces the basic concepts of data mining, including data mining technology, artificial intelligence, machine learning, statistical analysis, fuzzy logic, pattern recognition and artificial neural networks and other technologies. We analyze the structure of the general algorithm of data mining, and classify the data mining technology in details, including more than 10 techniques of decision tree technology, neural network technology, rough set and fuzzy set. Finally, the research directions of data mining in artificial intelligence, e-commerce applications and mobile communication computing are discussed. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:192 / 202
页数:11
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