A STUDY : SOIL CLASSIFICATION USING DATA MINING TECHNIQUES

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Title:	A STUDY : SOIL CLASSIFICATION USING DATA MINING TECHNIQUES
Authors:	T S, Anushya Devi
Keywords:	Agriculture Data mining k-means bi-clustering k nearest neighbor Artificial Neural Network Support Vector Machine Naïve Bayesian Classifier J48 JRip
Issue Date:	Apr-2018
Publisher:	International Journal of Computer Engineering and Applied Sciences
Abstract:	Indian economy is depending on agriculture. Data mining is an important tool for extracting hidden information from large and varied data. The techniques of data mining are extremely popular in the area of agriculture. Data Mining Techniques such as K-Means, K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN) and Support Vector Machines (SVM), Bi-clustering, Naïve Bayes Classifier, J48, JRip are very recent applications of Data Mining techniques in agriculture field. In this paper focus on Data mining techniques used to compare and analyze the soil data.
URI:	https://www.google.com/search?client=firefox-b-d&ei=_kSPXLbgLMfgz7sPhoKg8Ag&q http://localhost:8080/xmlui/handle/123456789/1459
ISSN:	2395-2539
Appears in Collections:	International Journals

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