Call For Paper Volume:4 Issue:6 Jun'2017

CLASSIFICATION ALGORITHM USING RANDOM CONCEPT ON A VERY LARGE DATA SET: A SURVEY

Publication Date : 31/10/2014



Author(s) :

Pooja Sharma , Annu Mishra.


Volume/Issue :
Volume 1
,
Issue 4
(10 - 2014)



Abstract :

Data mining environment produces a large amount of data, that need to be analyses, pattern have to be extracted from that to gain knowledge. In this new period with rumble of data both ordered and unordered, by using traditional databases and architectures, it has become difficult to process, manage and analyses patterns. To gain knowledge about the Big Data a proper architecture should be understood. Classification is an important data mining technique with broad applications to classify the various kinds of data used in nearly every field of our life. Classification is used to classify the item according to the features of the item with respect to the predefined set of classes. This paper provides an inclusive survey of different classification algorithms and put a light on various classification algorithms including j48, C4.5, k-nearest neighbor classifier, Naive Bayes, SVM etc., using random concept.


No. of Downloads :

26


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CLASSIFICATION ALGORITHM USING RANDOM CONCEPT ON A VERY LARGE DATA SET: A SURVEY

December 4, 2014