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

Data 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...

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Bibliographic Details
Main Authors: Vital, T. Panduranga, Raju, G.S.V. Prasada, Sreeramamurthy, K., Charan, V.P. Venkata
Format: Conference Proceeding
Language:English
Subjects:
Cancer
Data mining
India
North coastal districts of AP
PNN
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Summary:Data 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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2015.04.206