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Data-mining models for water resource applications
Published in
2013
Volume: 19
   
Issue: 3
Pages: 211 - 218
Abstract
Advancements in the field of instrumentation has led to the development of sophisticated apparatus with inbuilt data storage mechanism for measuring water quantity and quality. In water resources, the database has been measured and recorded both in the temporal and spatial scale for many watersheds. Dealing with a large database increases the associated complexity in modelling. The complexity existing in a large database is well represented as simple and understandable expressions by data-mining models/processes. This review paper elaborates the theoretical background of data-mining models and highlights the applications in knowledge data discovery from a water resources database. Based on the understanding/learning from the reported research works, research gaps have been identified and potential directions towards minimising the gap are identified and discussed. © 2013 Indian Society for Hydraulics.
About the journal
JournalISH Journal of Hydraulic Engineering
ISSN09715010
Open AccessNo
Concepts (11)
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    DATA DISCOVERY
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    DATA MINING MODELS
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    Data storage
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    Large database
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    RESEARCH GAPS
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    REVIEW PAPERS
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    Temporal and spatial
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    WATER QUANTITIES
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    Data mining
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    Database systems
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    Water resources