Title :
Hybrid Machine Learning Approach in Data Mining
Author :
Bellary, Jyothi ; Peyakunta, Bhargavi ; Konetigari, Sekhar
Author_Institution :
Dept. of Comput. Applic., Sri Venkateswara Univ., Madanapalli, India
Abstract :
In this paper we discuss various machine learning approaches used in mining of data. Further we distinguish between symbolic and sub-symbolic data mining methods. We also attempt to propose a hybrid method with the combination of Artificial Neural Network (ANN) and Cased Based Reasoning (CBR) in mining of data.
Keywords :
case-based reasoning; data mining; learning (artificial intelligence); neural nets; artificial neural network; cased based reasoning; machine learning; subsymbolic data mining; Artificial neural networks; Classification tree analysis; Data analysis; Data mining; Data visualization; Databases; Hospitals; Information systems; Learning systems; Machine learning; Artificial Neural Networ (ANN); Case Based Reasoning( CBR); Data Mining; Hybrid Approach; Machine Learning;
Conference_Titel :
Machine Learning and Computing (ICMLC), 2010 Second International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-6006-9
Electronic_ISBN :
978-1-4244-6007-6
DOI :
10.1109/ICMLC.2010.57
