Data Mining and Text Mining - A Survey

被引:0
作者
Suresh, R. [1 ]
Harshni, S. R. [1 ]
机构
[1] Sri Manakula Vinayagar Engn Coll, Dept Informat Technol, Pondicherry, India
来源
2017 INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY INFORMATION AND COMMUNICATION (ICCPEIC) | 2017年
关键词
data mining; clustering; classification; KDD;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper we mainly focus on the techniques of data mining such as clustering, classification etc. In today's strategy it becomes a hectic task to gather, analyze and extract huge amount of datasets. So we use many efficient methods for the practical integration of the data. Some of the main techniques are fuzzy set theory, approximate reasoning, genetic algorithms etc. It is also useful for transformation to many fields and also decision making. It also enhances Knowledge discovery database(KDD) for retrieving the information from any kind of formats like graph, flow chart, video etc. This mainly focuses on the data mining methodologies to handle the huge amounts of data in logical and systematic manner.
引用
收藏
页码:412 / 419
页数:8
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