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Ground Water Quality Data Analysis Using Classification Techniques

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02944165openalex-extracted

The use of a Neural Network technique for the prediction of water quality parameters

inferredcites →https://doi.org/10.1016/j.proenv.2012.01.115openalex-extracted

Assessment of water quality in Baiyangdian Lake using multivariate statistical techniques

inferredcites →https://doi.org/10.1080/00207230214402openalex-extracted

Environmental Studies

inferredcites →https://doi.org/10.1109/iccat.2013.6521975openalex-extracted

Classifier for drinking water quality in real time

inferredcites →https://doi.org/10.1155/2008/140986openalex-extracted

Correlation Study on Physico‐Chemical Parameters and Quality Assessment of Kosi River Water, Uttarakhand

inferredcites →https://doi.org/10.1198/106186006x133933openalex-extracted

Unbiased Recursive Partitioning: A Conditional Inference Framework

inferredcites →https://doi.org/10.14257/ijunesst.2015.8.3.13openalex-extracted

The Study on the Accuracy of Classifiers for Water Quality Application

inferredcites →https://doi.org/10.1515/9783110941975openalex-extracted

Random Forests

inferredcites →https://doi.org/10.5121/csit.2014.4234openalex-extracted

Bayesian Methods for Assessing Water Quality

What points at this work

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inferred← citeshttps://doi.org/10.1007/s11831-024-10156-wopenalex-snapshot

The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction

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