Title :
A conceptual overview of data mining
Author :
Lakshmi, B.N. ; Raghunandhan, G.H.
Author_Institution :
Dept. of Comput. Sci. Eng., Reva Inst. of Technol. & Manage., Bangalore, India
Abstract :
Data mining an non-trivial extraction of novel, implicit, and actionable knowledge from large data sets is an evolving technology which is a direct result of the increasing use of computer databases in order to store and retrieve information effectively. It is also known as Knowledge Discovery in Databases (KDD) and enables data exploration, data analysis, and data visualization of huge databases at a high level of abstraction, without a specific hypothesis in mind. The working of data mining is understood by using a method called modeling with it to make predictions. Data mining techniques are results of long process of research and product development and include artificial neural networks, decision trees and genetic algorithms. This paper surveys the data mining technology, its definition, motivation, its process and architecture, kind of data mined, functionalities and classification of data mining, major issues, applications and directions for further research of data mining technology.
Keywords :
data analysis; data mining; data visualisation; information retrieval; very large databases; abstraction; artificial neural networks; computer databases; data analysis; data exploration; data mining; data visualization; decision trees; genetic algorithms; information retrieval; knowledge discovery in databases; large data sets; nontrivial extraction; product development; Business; Classification algorithms; Data mining; Data warehouses; Spatial databases; Web sites; KDD; data mining; further research; modeling; recent techniques;
Conference_Titel :
Innovations in Emerging Technology (NCOIET), 2011 National Conference on
Conference_Location :
Erode, Tamilnadu
Print_ISBN :
978-1-61284-807-5
DOI :
10.1109/NCOIET.2011.5738828