Title :
Machine learning techniques for data mining: A survey
Author :
Sharma, Shantanu ; Agrawal, Jyoti ; Agarwal, Sankalp ; Sharma, Shantanu
Author_Institution :
Sch. of Inf.. Technol., RGPV, Bhopal, India
Abstract :
Data mining (DM) is a most popular knowledge acquisition method for knowledge discovery. Classification is one of the data mining (machining learning) technique that maps the data into the predefined class and group´s. It is used to predict group membership for data instance. There are many areas that adapt Data Mining techniques such as medical, marketing, telecommunications, and stock, health care and so on. This paper presents the various classification techniques including decision tree, Support vector Machine, Nearest Neighbor etc. This survey provides a comparative Analysis of various classification algorithms.
Keywords :
data mining; decision trees; learning (artificial intelligence); pattern classification; support vector machines; classification algorithms; data instance; data mining; decision tree; group membership prediction; knowledge acquisition method; knowledge discovery; machine learning; nearest neighbor; support vector machine; Bayesian network; Data Classification; Data Mining; Decision Tree; Nearest Neighbour; Support Vector Machine (SVM);
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location :
Enathi
Print_ISBN :
978-1-4799-1594-1
DOI :
10.1109/ICCIC.2013.6724149
