Bayesian Classifiers Programmed In SQL Using PCA

Dr. K.Venkat Nagarjuna

Bayesian Classifiers Programmed In SQL Using PCA

Dr. K.Venkat Nagarjuna * §

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Bayesian Classifiers Programmed In SQL Using PCA

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Abstract

The Bayesian classifier is a fundamental classification technique. We also consider different concepts regarding Dimensionality Reduction techniques for retrieving lossless data. In this paper, we proposed a new architecture for pre-processing the data. Here we improved our Bayesian classifier to produce more accurate models with skewed distributions, data sets with missing information, and subsets of points having significant overlap with each other, which are known issues for clustering algorithms. so, we are interested in combining Dimensionality Reduction technique like PCA with Bayesian Classifiers to accelerate computations and evaluate complex mathematical equations. The proposed architecture in this project contains the following stages: pre-processing of input data, Naïve Bayesian classifier, Bayesian classifier, Principal component analysis, and database. Principal Component Analysis(PCA) is the process of reducing components by calculating Eigen values and Eigen Vectors. We consider two algorithms in this paper: Bayesian Classifier based on KMeans( BKM) and Naïve Bayesian Classifier Algorithm(NB).

References

8 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. K.Venkat Nagarjuna. 2012. "Bayesian Classifiers Programmed In SQL Using PCA". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C13).

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GJCST Volume 12 Issue C13

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Classifiers Dimensionality reduction K-means PCA

Classification

GJCST-C Classification H.2.3

Submission ReceivedDecember 12, 2011
Peer Review Double Blind
Handling Editor
Accepted January 2, 2012
Published September 6, 2012

Version of record

v1.2

Issue date

September 6, 2012

Language

English

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Dr. K.Venkat Nagarjuna, P.V Subba Reddy (PhD/Dr. count: 1)

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Publish Date: 2012 01, Sun

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Total Views: 2.1K

Total Downloads: 140

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