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    • List of Articles S. Alireza hashemi G.

      • Open Access Article

        1 - Provide a new architecture for the decision support system to manage stock trading based on a combination of financial indicators
        Masoud Mansoury bijan mansouri S. Alireza hashemi G.
        Financial indicators are often used to analyze the market and predict the future of stocks. But because of the complexity of the stock market, what index to use and how reliable the output of the index used is has always been an issue. In this paper, a hybrid approach i More
        Financial indicators are often used to analyze the market and predict the future of stocks. But because of the complexity of the stock market, what index to use and how reliable the output of the index used is has always been an issue. In this paper, a hybrid approach in the form of a decision support system is used to offer the best stocks to buy or sell. The best stocks are selected from a set of stocks using a set of financial indicators. Each of these indicators acts as a model and shows its status in the future, given the stock situation in the past. Therefore, using a combination of indicators allows us to make decisions with more certainty. The efficiency of this system has been evaluated on the Iranian stock market data collection collected from 2001 to 2011. The results show that the indicators used and the combined use of them have led to the decision support system to produce proposals with high accuracy Manuscript profile
      • Open Access Article

        2 - A Neighbor-based Link Prediction Method for Bipartite Networks
        Golshan Sondossi alireza saebi S. Alireza hashemi G.
        Social network analysis’ link prediction has a diverse range of applications in different areas of science. Bipartite networks are a kind of complex network, which can be used to describe various real-world phenomena. In this article, a link prediction method for bipart More
        Social network analysis’ link prediction has a diverse range of applications in different areas of science. Bipartite networks are a kind of complex network, which can be used to describe various real-world phenomena. In this article, a link prediction method for bipartite network is presented. Uni-partite link prediction methods are not effective and efficient enough to be applied to bipartite networks. Thus, to solve this problem, distinct methods specifically designed for bipartite networks are required. The proposed method is neighbor based and consisted of measures of such. Classic uni-partite link prediction measures are redefined to be compatible with bipartite network. Subsequently, these modified measures are used as the basis of the presented method, which in addition to simplicity, has high performance rates and is superior to other neighbor-based methods by 15% in average. Manuscript profile
      • Open Access Article

        3 - Generalizing The Concept of Business Processes Structural Soundness from Classic Petri-nets to BPMN2.0 Process Models
        Yahya Poursoltani Mohammad Hassan Shirali-Shahreza S. Alireza Hashemi Golpayegani
        BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tas More
        BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tasks) and Livelock (infinite repetition of tasks) may be produced by using them. These semantic errors can create anomalies in the workflow of the organization. So far, some researches has been conducted on the validation of these process models and various solutions have been provided to discover some of these structural errors. The question that may be raised about these methods is whether it is possible to definitely guarantee the structural accuracy of a BPMN method model by using any of them? To answer this question, we need a comprehensive definition of a correct BPMN2.0 process model, based on which we can evaluate the comprehensiveness of validation methods and strongly make sure that the considered method can discover all of the structural errors of the process model. In this paper, based on concept of general process models and the concept of soundness (based on process models created using Petri nets) and the generalization of its properties, i.e. Liveness and Boundness to BPMN2.0 process models, a comprehensive definition for a correct (sound) BPMN2 process model provided. Then, the comprehensiveness of the suggested methods of some of the most important researches conducted has been evaluated based on it. This definition can be used as a measure for efficiency of BPMN validation methods. Manuscript profile
      • Open Access Article

        4 - Generalizing The Concept of Business Processes Structural Soundness from Classic Petri-nets to BPMN2.0 Process Models
        Yahya Poursoltani Mohammad Hassan Shirali-Shahreza S. Alireza hashemi G.
        BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tas More
        BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tasks) and Livelock (infinite repetition of tasks) may be produced by using them. These semantic errors can create anomalies in the workflow of the organization. So far, some researches has been conducted on the validation of these process models and various solutions have been provided to discover some of these structural errors. The question that may be raised about these methods is whether it is possible to definitely guarantee the structural accuracy of a BPMN method model by using any of them? To answer this question, we need a comprehensive definition of a correct BPMN2.0 process model, based on which we can evaluate the comprehensiveness of validation methods and strongly make sure that the considered method can discover all of the structural errors of the process model. In this paper, based on concept of general process models and the concept of soundness (based on process models created using Petri nets) and the generalization of its properties, i.e. Liveness and Boundness to BPMN2.0 process models, a comprehensive definition for a correct (sound) BPMN2 process model provided. Then, the comprehensiveness of the suggested methods of some of the most important researches conducted has been evaluated based on it. This definition can be used as a measure for efficiency of BPMN validation methods. Manuscript profile