Existing Situation of Data Mining Research and Its Development Tendency

WANG Hui-zhong; PENG An-qun

Article Contents

Article Navigation > Journal of Mine Automation > 2011 > 37(2): 29-33

WANG Hui-zhong, PENG An-qun. Existing Situation of Data Mining Research and Its Development Tendency[J]. Industry and Mine Automation, 2011, 37(2): 29-33.

Citation:

WANG Hui-zhong, PENG An-qun. Existing Situation of Data Mining Research and Its Development Tendency[J]. Industry and Mine Automation, 2011, 37(2): 29-33.

WANG Hui-zhong, PENG An-qun. Existing Situation of Data Mining Research and Its Development Tendency[J]. Industry and Mine Automation, 2011, 37(2): 29-33.

Citation:

WANG Hui-zhong, PENG An-qun. Existing Situation of Data Mining Research and Its Development Tendency[J]. Industry and Mine Automation, 2011, 37(2): 29-33.

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Existing Situation of Data Mining Research and Its Development Tendency

College of Electrical and Information Engineering of Lanzhou University of Technology, Lanzhou 730050, China. 2.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050, Chi

Publish Date: 2011-02-10

Abstract

Abstract

From the definition of data mining, the paper introduced concepts and advantages and disadvantages of neural network algorithm, decision tree algorithm, genetic algorithm, rough set method, fuzzy set method and association rule method of data mining, summarized domestic and international research situation and focus of data mining in details, and pointed out the development trend of data mining.
- data mining, algorithm of data mining, neural network, decision tree, rough set, fuzzy set, research situation, development tendency,