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Procedia Computer Science
Article . 2015 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article . 2015
License: CC BY NC ND
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A Probabilistic Neural Network Approach for Classification of Datasets Collected from North Coastal Districts of AP, India Using MatLab

Authors: Vital, T. Panduranga; Raju, G.S.V. Prasada; Sreeramamurthy, K.; Charan, V.P. Venkata;

A Probabilistic Neural Network Approach for Classification of Datasets Collected from North Coastal Districts of AP, India Using MatLab

Abstract

AbstractData mining is an important tool to analyze the data for diseased datasets. The data has been collected from North coastal districts of AP, India during 2011 to 2014 with 504 instances and 56 attributes. The methods like Confusion matrix, ROC, Best validation performance, R value, SOM Topology, Hits, SOM Neighbor Connections, Neighbor weight distances and SOM weight positions were analysed using MatLab version 7.6.0 (R2008a) from the collected dataset from north coastal districts of AP, India in the present study.

Keywords

PNN, India, North coastal districts of AP, Data mining, Cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold