Mohammadhossein Barkhordari

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This paper proposes an algorithm for controlling first and second order linear systems using brain emotional learning based intelligent controller (BELBIC). BELBIC is an intelligent controller based on the model of the emotional part of brain. The algorithm proved to be able of globally asymptotically stabilizing the linear systems based on Lyapunov(More)
Current data mining algorithms are impractical for huge amounts of data because they are time consuming and therefore inefficient. Association rule mining is one of the most famous data mining algorithms. Many parallel and distributed methods have been proposed for association rule mining. However, these methods are not suited to big data for a number of(More)
As warehouse data volumes expand, single-node solutions can no longer analyze the immense volume of data. Therefore, it is necessary to use shared nothing architectures such as MapReduce. Inter-node data segmentation in MapReduce creates node connectivity issues, network congestion, improper use of node memory capacity and inefficient processing power. In(More)
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