Static scheduling algorithms for allocating directed task graphs to multiprocessors
ACM Computing Surveys (CSUR)
The Evolution of Workflow Standards
IEEE Concurrency
Using Agent Control and Communication in a Distributed Workflow Information System
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
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With the increasing number of data mining process, frequency of affairs distribution and results collection will increase in exponent, thus resulting in system overload. In order to improve the efficiency of data mining, this paper designed a parallel data mining model for centralized dataset only. The intelligent algorithm of the model reduces the system operation cost significantly and balances system load reasonably as well. The model system structure and the basic services each module provided are listed. The experiment proves that the model is suitable for the large scale, high precision and multi-dimensional data mining, it can also notably reduce the running time of mining process.