Amineh Ghorbani

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With the emergence of Web service mashups, selecting the appropriate Web services from the vast amount of available services has emphasized the role of service discovery. In this research, we present a new way of enhancing Web services semantically using WordNet concepts (synsets). The important advantage of our solution is that it allows developers to(More)
Acquiring new customers in any business is much more expensive than trying to keep the existing ones. Thus many prediction models are presented to detect churning customers. The objective of this paper was to improve the predictive accuracy and interpretability of churn detection. For this purpose, the application of the locally linear model tree (LOLIMOT)(More)
Agent-based modelling and simulation (ABMS) is highly instrumental for studying sociotechnical systems. MAIA – Modelling Agents using Institutional Analysis – is an ABMS modelling framework that formalises social sciences knowledge. It enables handling the complexity of large complex systems, allows collaborative model development and the reuse of model(More)
Agent-based modeling is one of the popular tools for analyzing complex social systems. To model such systems, social attributes such as culture, law and institutions need to implemented as part of the context of a MAS, independently of individual agents. In this paper, we present MAIA; a framework for modeling agent-based systems based on the Institutional(More)
With the emergence of vast resources of information, it is necessary to develop methods that retrieve the most relevant information according to needs. These retrieval methods may benefit from natural language constructs to boost their results by achieving higher precision and recall rates. In this study, we have used part of speech properties of terms as(More)
With the emergence of vast resources of information, it is necessary to develop methods that retrieve most relevant information according to the users needs. These retrieval methods may benefit from natural language constructs to boost their results by achieving higher precision/recall rates. In this attempt, we have used part of speech attributes of terms(More)
In the area of professional social networks, collaborative team formation with its NP-hard nature, has attracted the attention of many researchers. The purpose of this study is to find a collaborative team which covers required skills and minimizes the communication cost among team members. To solve this problem, BRADO (BRAin Drain Optimization), a(More)