Using an Efficient Optimal Classifier for Soil Classification in Spatial Data Mining Over Big Data

Using an Efficient Optimal Classifier for Soil Classification in Spatial Data Mining Over Big Data

This article proposes an effectual process for soil classification. The input data of the proposed procedure is the Harmonized World Soil Database. Preprocessing aids to generate enhanced representation and will use minimum time. Then, the MapReduce framework divides the input dataset into a complim...

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Bibliographic Details
Main Authors: Manjula Aakunuri, Narsimha G.
Format: Article
Language:English
Published: De Gruyter 2018-01-01
Series:Journal of Intelligent Systems
Subjects:
mapreduce framework
principal component analysis
neural network
grey wolf optimization
accuracy
precision
recall
f-measure
Online Access:https://doi.org/10.1515/jisys-2017-0209

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