Analysis the effect of data mining techniques on database

被引:11
作者
Aggarwal, Niyati [1 ]
Kumar, Amit [1 ]
Khatter, Harsh [2 ]
Aggarwal, Vaishali [2 ]
机构
[1] Jaypee Univ Engn & Technol Univ, Dept Comp Sci & Engn, Guna, MP, India
[2] Ajay Kumar Garg Engn Coll, Ghaziabad, India
关键词
Data acquisition; Databases; Data warehouse; Data mining; Data miner; Intelligent miner;
D O I
10.1016/j.advengsoft.2011.12.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In today's information society, we witness an explosive growth of the amount of information becoming available in electronic form and stored in large databases. Data mining can help in discovering knowledge. Data mining can dig out valuable information from databases in approaching knowledge discovery and improving business intelligence. In this paper, we have discussed the involvement and effect of data mining techniques on relational database systems, and how its services are accessible in databases, which tool we require to use it, with its major pros and cons in various databases. Through all this discussion we have presented how database technology can be integrated to data mining techniques. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:164 / 169
页数:6
相关论文
共 10 条
[1]  
[Anonymous], DAT MIN AN TOOL MYSQ
[2]  
[Anonymous], OVERVIEW DB2 DATA WA
[3]  
[Anonymous], SERV MS SQL SERV
[4]  
[Anonymous], INTR OR DAT MIN
[5]  
[Anonymous], INTR DAT MIN TOOL MY
[6]  
Martino Giovanni Da San, 2010, IEEE COMPUTATION FEB
[7]  
Netz Amir, INTEGRATION DATA MIN
[8]  
Shahbaz M., 2010, J AM SCI
[9]  
Sung SY, 1996, DATA MINING LARGE DA
[10]  
Xie Tao, 2009, IEEE COMPUTER SO AUG