Journal of Computer & Information Technology

Decision tree Approach in Blood Bank data with weka tools

Author:
1DEEPTHI SRAMBICAL POULOSE, 2DINESH KUMAR SAHU and 3ANIL RAJPUT
Affiliation:

1M. Tech Scholar, Department of CSE, Sri Satya Sai College of Engineering , Bhopal M.P. (India)
2Ph.D Scholar, Department of Computer Science, Barkatullah University, Bhopal M.P. (India)
3Professor, Department of Mathematics, CSA, Govt. P.G. College, Sehore M.P. (India)

Keyword:
Data Mining, WEKA, Decision Tree
Issue Date:
July 2015
Abstract:
In this paper we used WEKA for finding decision tree approach in blood bank data. Data mining refers to extracting knowledge from large amount of data. Real life data mining approaches are interesting because they often present a different set of problems for data miners. Decision tree is a popular supervised learning classifier that does not require any knowledge or parameter setting. Given a training data, we can induce a decision tree. From a decision tree we can easily create rules about the data
Pages:
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:

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Available from: http://www.compitjournal.org/paper/294/

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