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Titlebook: Computer and Information Sciences II; 26th International S Erol Gelenbe,Ricardo Lent,Georgia Sakellari Conference proceedings 2012 Springer

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41#
發(fā)表于 2025-3-28 14:56:17 | 只看該作者
Hypergraph-Theoretic Partitioning Models for Parallel Web Crawlingorrectly capture and minimize the number of network messages exchanged between crawlers. We evaluate the performance of our models on four benchmark datasets. Compared to the traditional hash-based assignment approach, significant performance improvements are observed in reducing the inter-processor communication overhead.
42#
發(fā)表于 2025-3-28 20:31:51 | 只看該作者
An Empirical Study About Search-Based Refactoring Using Alternative Multiple and Population-Based Secodes as its input. The empiricial study showed that multiple steepest descent and population-based artificial bee colony algorithms are two most suitable approaches for the efficient solution of the search based refactoring problem.
43#
發(fā)表于 2025-3-29 00:02:21 | 只看該作者
44#
發(fā)表于 2025-3-29 05:31:06 | 只看該作者
45#
發(fā)表于 2025-3-29 11:18:42 | 只看該作者
Finding High Order Dependencies in Datasignificant positive dependencies as well as negative ones suitable to identify rare events. The system returns the patterns ranked by . they are guaranteed to be statistically significant and their number results reduced in comparison with other methods.
46#
發(fā)表于 2025-3-29 13:37:14 | 只看該作者
47#
發(fā)表于 2025-3-29 17:08:27 | 只看該作者
Dynamic Programming with Ant Colony Optimization Metaheuristic for Optimization of Distributed Databpower of . with heuristic approaches so that we can have a polynomial time approximation algorithm based on a constructive method. . and . algorithms together provide execution plans that are very close to the best performing solutions, and achieve this in polynomial time. This makes our algorithm viable for large multi-way join queries.
48#
發(fā)表于 2025-3-29 19:54:37 | 只看該作者
49#
發(fā)表于 2025-3-30 01:24:45 | 只看該作者
Energy Cost Model for Frequent Item Set Discovery in Unstructured P2P Networksnsumption using our simulation model on PeerSim and compare push–pull method of ProFID with the well-known push-based gossiping approach. Based on the analysis results, we reformulate the upper bound for the peer’s energy cost.
50#
發(fā)表于 2025-3-30 05:27:09 | 只看該作者
gineering and computer science, across the broad area of information technology. It provides access to the main innovative activities in research across the world, and points to the results obtained recently by some of the most active teams in both Europe and Asia..978-1-4471-5810-3978-1-4471-2155-8
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