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» A Parallel Scalable Infrastructure for OLAP and Data Mining
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IPPS
2000
IEEE
15 years 1 months ago
Scalable Parallel Clustering for Data Mining on Multicomputers
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
D. Foti, D. Lipari, Clara Pizzuti, Domenico Talia
SSDBM
1999
IEEE
118views Database» more  SSDBM 1999»
15 years 1 months ago
Evaluation of Ad Hoc OLAP: In-Place Computation
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
Damianos Chatziantoniou
DAWAK
2000
Springer
15 years 1 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese
ARCS
2004
Springer
15 years 3 months ago
Distributed and Parallel Data Mining on the Grid
Abstract: This paper presents the initial design and implementation of a Gridbased distributed and parallel data mining system. The Grid system, namely the Business Intelligence Gr...
Tianchao Li, Toni Bollinger
HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
15 years 4 months ago
GrayWulf: Scalable Software Architecture for Data Intensive Computing
Big data presents new challenges to both cluster infrastructure software and parallel application design. We present a set of software services and design principles for data inte...
Yogesh Simmhan, Roger S. Barga, Catharine van Inge...