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Displaying 1-6 out of 6 total
The Computational Materials Repository
Found in: Computing in Science & Engineering
By David D. Landis,Jens S. Hummelshøj,Svetlozar Nestorov,Jeff Greeley,Marcin Dułak,Thomas Bligaard,Jens K. Nørskov,Karsten W. Jacobsen
Issue Date:November 2012
pp. 51-57
The possibilities for designing new materials based on quantum physics calculations are rapidly growing, but these design efforts lead to a significant increase in the amount of computational data created. The Computational Materials Repository (CMR) addre...
 
Ad-Hoc Association-Rule Mining within the Data Warehouse
Found in: Hawaii International Conference on System Sciences
By Svetlozar Nestorov, Nenad Jukić
Issue Date:January 2003
pp. 232a
Many organizations often underutilize their already constructed data warehouses. In this paper, we suggest a novel way of acquiring more information from corporate data warehouses without the complications and drawbacks of deploying additional software sys...
   
Reshaping text data for efficient processing on Amazon EC2
Found in: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC '10)
By Gabriela Turcu, Ian Foster, Svetlozar Nestorov
Issue Date:June 2010
pp. 435-444
Text analysis tools are nowadays required to process increasingly large corpora which are often organized as small files (abstracts, news articles, etc). Cloud computing offers a convenient, on-demand, pay-as-you-go computing environment for solving such p...
     
Extracting schema from semistructured data
Found in: Proceedings of the 1998 ACM SIGMOD international conference on Management of data (SIGMOD '98)
By Rajeev Motwani, Serge Abiteboul, Svetlozar Nestorov
Issue Date:June 1998
pp. 227-234
Semistructured data is characterized by the lack of any fixed and rigid schema, although typically the data has some implicit structure. While the lack of fixed schema makes extracting semistructured data fairly easy and an attractive goal, presenting and ...
     
Query flocks: a generalization of association-rule mining
Found in: Proceedings of the 1998 ACM SIGMOD international conference on Management of data (SIGMOD '98)
By Arnon Rosenthal, Chris Clifton, Dick Tsur, Jeffrey D. Ullman, Rajeev Motwani, Serge Abiteboul, Svetlozar Nestorov
Issue Date:June 1998
pp. 227-234
Association-rule mining has proved a highly successful technique for extracting useful information from very large databases. This success is attributed not only to the appropriateness of the objectives, but to the fact that a number of new query-optimizat...
     
LORE: a Lightweight Object REpository for semistructured data
Found in: Proceedings of the 1996 ACM SIGMOD international conference on Management of data (SIGMOD '96)
By Anand Rajaraman, Dallan Quass, Hugo Rivero, Janet Wiener, Jason McHugh, Jeff Ullman, Jennifer Widom, Kevin Haas, Qingshan Luo, Roy Goldman, Serge Abiteboul, Svetlozar Nestorov
Issue Date:June 1996
pp. 219-230
Data mining, or knowledge discovery in databases, has been popularly recognized as an important research issue with broad applications. We provide a comprehensive survey, in database perspective, on the data mining techniques developed recently. Several ma...
     
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