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Hydrotheek

Record nummer 2288979
Titel Explorations in data mining for the water sector
toon extra info.
project manager G. (Geertje) Pronk PhD ; author(s) P. (Peter) van Thienen PhD, H.-J. (Henk-Jan) van Alphen MSc, A. (Andrea) Brunner PhD, Y. (Yuki) Fujita PhD, B. (Bram) Hillebrand MSc, R. (Rosa) Sjerps MSc, J. (Joost) van Summeren PhD, A. (Anthony) Verschoor PhD, B. (Bart) Wullings MSc
Auteur(s) Thienen, Peter van ; Alphen, H.-J. van ; Brunner, A. ; Fujita, Y. ; Hillebrand, B. ; Sjerps, R. ; Summeren, J. van ; Verschoor, A. ; Wullings, B. ; Pronk, G. (project director)
Uitgever Nieuwegein : KWR
Jaar van uitgave 2018
Pagina's 1 online resource (PDF, 36 pages) illustrations
Annotatie(s) BTO 2018.085  toon alle annotatie(s)
Project number 402045/023
Online full text
Publicatie type Boek
Taal Engels
Toelichting (Engels) Techniques for extracting knowledge from (combinations of) databases, often presented under the flags of data mining and big data, have shown significant development over recent years. However, attempts at their implementation in the water sector have produced interesting but not yet ‘revolutionary’ results. Identifying and resolving barriers towards deploying already mature data mining methods and tools for the benefit of the water sector, related to data ownership and access; availability and quality of data; organizational dynamics and culture, will allow the sector to take advantage of past work and recent developments in the field – capitalizing on a vast array of mathematical methods to address both current and emerging challenges.
Betrokken instanties KWR, Watercycle Research Institute
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