Conference Proceedings

International Conference on Advances in Computer, Electronics and Electrical Engineering - CEEE 2013

Naive Bayesian Classifier for Uncertain Data using Exponential Distribution

Author(s) : NAGAMANI CHIPPADA   , NAGARAJU DEVARAKONDA  , SHAIK SUBHANI  

Abstract

Most real databases contain data whose correctness is uncertain. In order to work with such data, there is a need to quantify the integrity of the data. This is achieved by using probabilistic databases. Data uncertain is common in real world applications. The uncertainty can be controlled very prudently. In this paper, we are using probabilistic models on uncertain data and develop a novel method to calculate conditional probabilities for uncertain numerical attributes. Based on that, we propose a Naive Bayesian classifier algorithm for uncertain data(NBCU) using exponential distribution. The ultimate aim is determine the uncertainty of multiple attributes using our proposed approach (NBCU).The experimental results show that the proposed method classifies uncertain data with potentially higher accuracy.

Conference Title : International Conference on Advances in Computer, Electronics and Electrical Engineering - CEEE 2013
Conference Date(s) : April 27-28, 2013
Place : Hotel Vits, Mumbai, India
No fo Author(s) : 3
DOI : 10.15224/978-981-07-6260-5-18
Page(s) : 82 - 86
Electronic ISBN : 978-981-07-6260-5
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