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KDD
1994
ACM
82views Data Mining» more  KDD 1994»
15 years 8 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
WDAS
2000
15 years 5 months ago
Scalable Distributed Data Structures for High-Performance Databases
Present databases, whether on centralized or parallel DBMSs, do not deal well with scalability. We present an architecture for Wintel multicomputers termed AMOS-SDDS, coupling a h...
Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore...
CLOUD
2010
ACM
15 years 9 months ago
Making cloud intermediate data fault-tolerant
Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...
FGCS
2007
86views more  FGCS 2007»
15 years 4 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
IEEEPACT
1998
IEEE
15 years 8 months ago
Data Dependence Analysis of Assembly Code
Determination of data dependences is a task typically performed with high-level language source code in today's optimizing and parallelizing compilers. Very little work has b...
Wolfram Amme, Peter Braun, Eberhard Zehendner, Fra...