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100   $a20230824d2019      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aProceedings of the 31st International Conference on Scientific and Statistical Database Management /$fCarlos Maltzahn, Tanu Malik, editors
210  1$aNew York, NY :$cAssociation for Computing Machinery,$d2019.
215   $a1 online resource (244 pages) $cillustrations
225 1 $aACM international conference proceedings series
300   $aIncludes index.
311   $a1-4503-6216-8 
330   $aThe International Conference on Scientific and Statistical Database Management (SSDBM) brings together scientific domain experts, database researchers, practitioners, and developers for the presentation and exchange of current research results on concepts, tools, and techniques for scientific and statistical database applications. SSDBM 2019 continues the tradition of past SSDBM conferences in providing a stimulating environment to encourage discussion, fellowship and exchange of ideas in all aspects of research related to scientific and statistical data management. The conference is hosted by the University of California, Santa Cruz, Santa Cruz, CA, USA, July 23-25, 2019.
410  0$aACM international conference proceedings series.
606   $aDatabase design$vCongresses
606   $aDatabase management$vCongresses
606   $aMathematical statistics$xData processing$vCongresses
606   $aScience$xData processing$vCongresses
615  0$aDatabase design
615  0$aDatabase management
615  0$aMathematical statistics$xData processing
615  0$aScience$xData processing
676   $a005.74011
702   $aMaltzahn$b Carlos
702   $aMalik$b Tanu
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910412063603321
996   $aProceedings of the 31st International Conference on Scientific and Statistical Database Management$92173614
997   $aUNINA