Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 03, March 2024

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Brief Survey of Different Techniques for Prediction of Groundwater Level and Groundwater Quality

Author : Ajinkya P. Chatur 1 R. V. Mante 2 Amol R. Dhakne 3

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Date of Publication :10th November 2017

Abstract: Data analysis is a stream which uses concepts from statistics and computer science to clean the data and then to find some useful information out of it. In order, to access useful information, various algorithms of machine learning can be used. Such algorithms can further be used for prediction of future data to some extent. So this paper is focused on the survey of different methods and algorithms to analyze the patterns of groundwater level. After the analysis of their methods and their accuracies, it is concluded that CBA method can best describe the trends in groundwater and various factors affecting it.

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