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Web services are the most important event in distributed computing today and have achieved great popularity among software developers. A critical step in the process of developing applications based on web services is web service discovery, i.e., the identification of existing web services that can potentially be used in the context of a new web application. We have proposed a novel method based on...
This paper introduces the capabilities of a general-purpose modeling and simulation approach named DEVS in multi-agent educational systems. Simulation provides both qualitative and quantitative information about correctness and efficiency which can help validate a multi-agent system (architectural) design before its actual implementation and thus deployment. Dynamic agent data helps designers to modify,...
One of the critical abilities of intelligent agents is making quick, accurate and wise decision within dynamic environments in a reasonable period of time. This paper introduces a new sequence classification method based on positive and negative sequential patterns. The historical log data from previous performance “TAC/Ad auction” has been used for the classification. We have applied Nconf: an “interestingness...
Acquiring new customers in any business is much more expensive than trying to keep the existing ones. As a result, many prediction algorithms have been proposed to detect churning customers. In this paper, the ordered weighted averaging (OWA) technique is brought to the attention of marketing researchers. We have applied OWA technique to improve the prediction accuracy of existing churn management...
Rule-based classifiers have been successfully applied in data mining applications. In this Paper, we have proposed a novel rule generator classifier called CORER (Colonial competitive Rule-based classifier) to improve the accuracy of data classification. The proposed classifier works based on CCA (Colonial Competitive Algorithm), a recently-developed evolutionary optimization algorithm. In order to...
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) algorithm, which integrates the advantage...
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 enhance Web services with semantic information...
Acquiring new customers in any business is much more expensive than trying to keep the existing ones. Many churn management models have been developed over the years, mostly focusing on prediction accuracy and not considering the range of parameters and processes essential to manage the system as a whole. This study presents CMF (churn management framework), a framework which tries to covers most...
Color image histograms are very useful tools for content based image retrieval (CBIR) that can be applied on features such as colour, texture and shape. As these kinds of histograms results with large variations between neighbouring bins, they seem so sensitive to any kind of changes such as noise, illumination. To overcome this problem, in this paper, fuzzy linking histogram approach based on OWA...
Today, managers have to evaluate their firm's readiness for mass customization to successfully utilize their knowledge and understanding of the firm and its customers in order to achieve superior performance. In this paper we propose a managerial framework for firm profiling which offers the strategic shift toward mass customization concept. The framework focuses on five general dimensions, most of...
Agent-oriented software methodologies have found their way to become one of the most important issues of software development. The diversity of existing methodologies and the variety of newly arriving ones have arisen the question of which methodology is best in the context of a special problem, so the need for evaluating and comparing methodologies is becoming more important everyday. On the other...
A lot of digital Farsi content has been produced recently in middle-east. Local context analysis (LCA) is an automated query expansion method that adds concepts to the original query based on the initial retrieval using the original query. In our previous works we attempted to tune this method for Farsi language by manipulating three parameters which are number of concepts used for query expansion,...
Corporate blogging is a new one-to-one communication method that increases company's transparency, and customer feedback and trust. The purpose of this paper is to present a solution to embed a corporate blogging system in the customer relationship management systems. Our blogging system categorizes the comments and entries based on automatically detected meta-data, and each of the comments of the...
Farsi language is one of the dominant languages in middle-east. A lot of work has been done on Farsi retrieval systems. Local context analysis is a query expansion method to improve retrieval performance. In this paper we have tried to tune LCA for Farsi language. We used Hamshahri collection and 60 queries to tune three parameters in LCA method which are number of concepts used for query expansion,...
One of the most contemporary research ideas for adaptive Web-based educational systems is personalizing the educational contents, based on users' learning styles. Moreover, it is not the technology that students learn from, but its role should be elucidated as a means to enhance learning. By our proposed adaptive e-learning framework, we attempt to bridge in the gap between pedagogy and technology,...
Spatial data mining has been developed as the effective technique in many applications that involve large amounts of geo-spatial data. Many organizations provide field-based services such as delivery, field-services and emergency to their customers. Considering the geographical distribution of the customer request points, the location of facilities will have noticeable impact on the overall efficiency...
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