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» Heuristic Scheduling of Concurrent Data Mining Queries
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CIDR
2009
155views Algorithms» more  CIDR 2009»
13 years 8 months ago
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases
Workloads that comb through vast amounts of data are gaining importance in the sciences. These workloads consist of "needle in a haystack" queries that are long running ...
Xiaodan Wang, Randal C. Burns, Tanu Malik
IPPS
2006
IEEE
14 years 1 months ago
Performance analysis of Java concurrent programming: a case study of video mining system
As multi/many core processors become prevalent, programming language is important in constructing efficient parallel applications. In this work, we build a multithreaded video min...
Wenlong Li, Eric Li, Ran Meng, Tao Wang, Carole Du...
CONCURRENCY
2006
148views more  CONCURRENCY 2006»
13 years 7 months ago
An adaptive parallel query processing middleware for the Grid
vices provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a grid environment. In this scenario, applications, like sc...
Vinícius F. V. da Silva, Márcio L. D...
DAWAK
2001
Springer
13 years 12 months ago
Shared Index Scans for Data Warehouses
Tree based indexing structures like -trees, ·-trees, Bitmap indexes and Ê-trees have become essential for getting good performance when accessing vast datasets. However, most dat...
Yannis Kotidis, Yannis Sismanis, Nick Roussopoulos
KDD
1998
ACM
101views Data Mining» more  KDD 1998»
13 years 11 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos