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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 5 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
KDD
1994
ACM
82views Data Mining» more  KDD 1994»
13 years 9 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten
HPDC
2009
IEEE
13 years 11 months ago
Resource co-allocation for large-scale distributed environments
Advances in the development of large scale distributed computing systems such as Grids and Computing Clouds have intensified the need for developing scheduling algorithms capable...
Claris Castillo, George N. Rouskas, Khaled Harfous...
MSS
1999
IEEE
111views Hardware» more  MSS 1999»
13 years 9 months ago
Massive-Scale Data Management using Standards-Based Solutions
In common with many large institutes, CERN has traditionally developed and maintained its own data management solutions. Recently, a significant change of direction has taken plac...
Jamie Shiers
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
14 years 5 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...