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This paper is concerned with the design, implementation, and evaluation of a novel extension of FCMs, temporal fuzzy cognitive maps (tFCMs). FCMs have advantages such as simplicity, supporting of inconsistent knowledge, and circle causalities for knowledge modeling and inference. However, the lack of the time dimension limits the usage of FCMs from the long(More)
Automated weighted graph construction from massive data is essential to weighted graph theory based data mining processes, where the edge weight computation is time consuming or even fails to complete on a single machine when necessary resources are exhausted. In addition, existing work lacks of the measurement on the accuracy of the edge weights, which(More)
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