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Titlebook: Web-Age Information Management; First International Hongjun Lu,Aoying Zhou Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2

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Parallel Data Mining on Large Scale PC Cluster the first method, the second one is employed, which is costly but more effective for strong imbalance. The experimental results confirm that the proposed approach can very effectively balance the workload among heterogeneous PCs.
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Parallel Data Mining on Large Scale PC Cluster the first method, the second one is employed, which is costly but more effective for strong imbalance. The experimental results confirm that the proposed approach can very effectively balance the workload among heterogeneous PCs.
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lly strategyproof and that it can be computed easily with a distributed algorithm that does not require major changes to the Border Gateway Protocol. Furthermore, we prove a lower bound on the number of trees required to contain a (1 + .)-approximately optimal route for each node and show that our s
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to avoid “personalistic biases that stem from single methodologies” (Denzin, 1970, p. 300). Thus, the dual methodological choice of this research can be justified as an effort to secure data accuracy and trustworthiness (cf. Flick, 2008). Data collection was conducted within the period of November 2
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