Abstract: Temporal data mining algorithms are becoming increasingly important in many application domains including computational neuroscience, ...
We present a novel implementation of a frequent episode discovery algorithm by revisiting "in-the-large" issues such as problem decomposition as well as "in-the ...
Accelerator-oriented algorithm transformation for temporal data mining. D Patnaik, SP Ponce, Y Cao, N Ramakrishnan. 2009 Sixth IFIP International Conference ...
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining ... Multi-Dimensional Characterization of Temporal Data Mining on Graphics Processors.
This is a state-of-the-art generic temporal motif mining algorithm uses a DFS-based search tree traversal. We convert their code into a task–centric multi-.
Missing: Oriented | Show results with:Oriented
Accelerator-oriented algorithm transformation for temporal data mining. D Patnaik, SP Ponce, Y Cao, N Ramakrishnan. 2009 Sixth IFIP International Conference ...
This paper presents \mathsf{Mint}—a novel accelerator architecture and a programming model for mining temporal motifs efficiently ...
Missing: Oriented Algorithm Transformation
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining. NPC 2009: 93-100. [i6]. view. electronic edition @ arxiv.org (open access); references ...
Jul 7, 2009 · We contribute the concept of algorithm transformation for increasing the data parallelism of an algorithm. We apply the algorithm transformation.
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining. In Sixth IFIP International Conference on Network and Parallel Computing (NPC '09) ...