Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Deborah K. Gracio"'
Autor:
Ian Gorton, Deborah K. Gracio
The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new clas
Publikováno v:
ResearcherID
Through the development of new classes of software, algorithms, and hardware, data-intensive applications provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0161dfcc25d29199fadb294530e1ba7
https://doi.org/10.1109/mc.2009.26
https://doi.org/10.1109/mc.2009.26
Autor:
Eric G. Stephan, Paul D. Whitney, Karen Schuchardt, Deborah K. Gracio, O.P. Kuchar, George Chin
Publikováno v:
Computer. 39:26-34
Although drawings and graphs can express complex concepts, such methods can't be computationally analyzed. Researchers have developed visual approaches and paradigms that scientists can use to capture and represent scientific models in a computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53a7e5e4c57ab996f627d1b43df01bd4
https://doi.org/10.1109/mc.2006.304
https://doi.org/10.1109/mc.2006.304
Publikováno v:
Theory and Practice of Object Systems. 5:201-207
This article discusses our experience with the ObjectStore object-oriented database management system from Object Design, Inc. We have been using ObjectStore since 1992 as the database management system at the core of two significant projects. This i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7c260618243b41493e922f9666dd0a8
https://doi.org/10.1002/1096-9942(1999)5:4<201::aid-tapo2>3.0.co
https://doi.org/10.1002/1096-9942(1999)5:4<201::aid-tapo2>3.0.co
Autor:
Deborah K. Gracio, Lee Ann McCue, Wes Hatley, Bobbie-Jo M. Webb-Robertson, Christopher S. Oehmen, Scott Dowson, Ian Gorton, Jason E. McDermott, Justin Almquist
Publikováno v:
Data-Intensive Computing: Architectures, Algorithms, and Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f082c9a909be74421cf7d7ec72afa5d
https://doi.org/10.1017/cbo9780511844409.009
https://doi.org/10.1017/cbo9780511844409.009
Autor:
Ian Gorton, Deborah K. Gracio
Publikováno v:
Data-Intensive Computing: Architectures, Algorithms, and Applications
The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c2e114804d45c74a4f29a640e9183d4
https://doi.org/10.1017/cbo9780511844409
https://doi.org/10.1017/cbo9780511844409
Publikováno v:
Data-Intensive Computing: Architectures, Algorithms, and Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fd2ac760ff7440eed68279152112c65
https://doi.org/10.1017/cbo9780511844409.006
https://doi.org/10.1017/cbo9780511844409.006
Publikováno v:
Data-Intensive Computing: Architectures, Algorithms, and Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ab80df8c0e885a6f47727e47bd0be7b
https://doi.org/10.1017/cbo9780511844409.008
https://doi.org/10.1017/cbo9780511844409.008
Publikováno v:
Expanding the Frontiers of Visual Analytics and Visualization ISBN: 9781447128038
Expanding the Frontiers of Visual Analytics and Visualization
Expanding the Frontiers of Visual Analytics and Visualization
Visual analytics has become internationally recognized as a growing research area, producing increasingly sophisticated analytic technologies. The pioneers of this multidisciplinary field blazed a leadership path, which continues to evolve as the fie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ded9a9230174a9b6825837787e3d4e5
https://doi.org/10.1007/978-1-4471-2804-5_3
https://doi.org/10.1007/978-1-4471-2804-5_3