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HIPC
2009
Springer
13 years 2 months ago
Integrating and optimizing transactional memory in a data mining middleware
As the size of available datasets in various domains is growing rapidly, there is an increasing need for scaling data mining implementations. Coupled with the current trends in co...
Vignesh T. Ravi, Gagan Agrawal
IPPS
2003
IEEE
13 years 10 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
VLDB
1998
ACM
116views Database» more  VLDB 1998»
13 years 9 months ago
The Heterogeneity Problem and Middleware Technology: Experiences with and Performance of Database Gateways
In this paper, we present the results that we have obtained by comparing and testing three well-known database middleware solutions. We have analyzed their features related to glo...
Fernando de Ferreira Rezende, Klaudia Hergula
ICDM
2007
IEEE
99views Data Mining» more  ICDM 2007»
13 years 11 months ago
Optimizing Frequency Queries for Data Mining Applications
Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. In this paper, we compare the memory requi...
Hassan H. Malik, John R. Kender
ADMA
2005
Springer
119views Data Mining» more  ADMA 2005»
13 years 10 months ago
Heuristic Scheduling of Concurrent Data Mining Queries
Execution cost of batched data mining queries can be reduced by integrating their I/O steps. Due to memory limitations, not all data mining queries in a batch can be executed toget...
Marek Wojciechowski, Maciej Zakrzewicz