DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-1 ( Jan, 2017 ) | |||||||||
Paper Title |
Application of Data Mining Classification Techniques on Soil Data Using R | |||||||||
Author Name |
Nikhita Awasthi, Abhay Bansal | |||||||||
Affilition |
Computer Science Department Amity University Noida | |||||||||
Pages |
25-29 | |||||||||
Abstract |
As we are moving to a computerized and scientific world, data becomes an intrinsic part of our life. Every second petabytes of data are getting generated by social media, commercial websites, surveys, telecommunications, etc. and it needs to be analyzed and explored to discover some unknown facts, patterns, classifications and correlations. This task is accomplished through data mining and analysis. Data mining is a vast subject and involves use of databases, computer algorithms, computing performance, statistics and analysis. This research, compares two advance data mining techniques, Artificial neural network and Support vector machine on soil data. Apart from this, we have tried to enhance the performance of each model by applying different variations. Keywords— Data Mining, Artificial Neural Network, Support Vector Machine. | |||||||||
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