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Hasil Pencarian

Ditemukan 6 dokumen yang sesuai dengan query
cover
Rumble, J. R.
Database systems in science and engineering / J. R. Rumble and F. J. Smith
Bristol, Philadelphia: Adam Hilger, 1990
502.855 RUM d
Buku Teks  Universitas Indonesia Library
cover
Sebastian-Coleman, Laura.
Measuring data quality for ongoing improvement : a data quality assessment framework
Waltham, MA : Morgan Kaufmann, 2013
005.73 SEB m
Buku Teks  Universitas Indonesia Library
cover
Kamath, Chandrika
Scientific data mining: a practical perspective
" Technological advances are enabling scientists to collect vast amounts of data in fields such as medicine, remote sensing, astronomy, and high-energy physics. These data arise not only from experiments and observations, but also from computer simulations of complex phenomena. They are often complex, with both spatial and temporal components. As a result, it has become impractical to manually explore, analyze, and understand the data. Scientific Data Mining: A Practical Perspective describes how techniques from the ... "
Philadelphia: Society for Industrial and Applied Mathematics, 2009
e20450993
eBooks  Universitas Indonesia Library
cover
Anastasia Ailamaki, editor
Scientific and statistical database management : 24th international conference, SSDBM 2012, Chania, Crete, Greece, June 25-27, 2012 : proceedings
" This book constitutes the refereed proceedings of the 24th International Conference on Scientific and Statistical Database Management, SSDBM 2012, held in Chania, Grete, Greece, in June 2012. The 25 long and 10 short papers presented together with 2 keynotes, 1 panel, and 13 demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data, parallel and distributed data management, graph processing, mining multidimensional data, provenance and ... "
Berlin: [Springer-Verlag, ], 2012
e20410432
eBooks  Universitas Indonesia Library
cover
Measuring data quality for ongoing improvement : a data quality assessment framework / Laura Sebastian-Coleman
" The data quality assessment framework shows you how to measure and monitor data quality, ensuring quality over time. You?ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to ... "
Waltham, MA: Morgan Kaufmann, 2013
e20427283
eBooks  Universitas Indonesia Library
cover
Reeve, April
Managing data in motion: data integration best practice techniques and technologies
Waltham: Morgan Kaufmann, 2013
005.74 REE m
Buku Teks  Universitas Indonesia Library