Web mining has been widely used to discover knowledge from various sources in the web. One of the important tools in web mining is mining of web user’s behavior that is considered as a way to discover the potential knowledge of web user’s interaction. Nowadays, Website personalization is regarded as a popular phenomenon among web users and it plays an important role in facilitating user access and provides information of users’ requirements based on their own interests. Extracting important features about web user behavior plays a significant role in web usage mining. Such features are page visit frequency in each session, visit duration, and dates of visiting a certain pages. This paper presents a method to predict user’s interest and to propose a list of pages based on their interests by identifying user’s behavior based on fuzzy techniques called fuzzy clustering method. Due to the user’s different interests and use of one or more interest at a time, user’s interest may belong to several clusters and fuzzy clustering provide a possible overlap. Using the resulted cluster helps extract fuzzy rules. This helps detecting user’s movement pattern and using neural network a list of suggested pages to the users is provided.

Enterprise architecture procedure contains some instructions for conversion of enterprise architecture from the current state to the desirable state. This procedure generally contains 3 phases each of which is the basis and prerequisite of the next phase. These phases are: Strategic information technology planning, enterprise architecture planning and enterprise architecture execution. As each phase is a prerequisite of the next one, any fault in each phase causes bigger faults in final results. Therefore, each phase should be double checked to make sure no fault has occurred. The second phase can greatly influence the final results. Therefore the preparation of an executable enterprise architecture model and checking it with functional and non-functional requirements can prevent many faults and lead to execution of a perfect model of the enterprise. The primary objective of this research is to check the accuracy of EA behavior in achieving an appropriate architecture. In this research, official models have been used to propose a solution to transform the products of C4ISR framework to executable Petri nets. Finally, a method is proposed to check the accuracy of the mentioned model. The proposed solution makes the EA semi-automatically check the correctness of the enterprise architecture behavior and increase its accuracy.

Enterprise architecture, with detailed descriptions of the functions of information technology in the organization, tries to reduce the complexity of technology applications resulting in tools with greater efficiency in achieving the objectives of the organization. Enterprise architecture consists of a set of models describing this technology in different components performance as well as various aspects of the applications in any organization. Therefore, information technology development and maintenance management can perform well within organizations. This study aims to suggest a method to identify different types of services in service-oriented architecture analysis step that applies some previous approaches in an integrated form and, based on the principles of software engineering, to provide a simpler and more transparent approach through the expression of analysis details. Advantages and disadvantages of proposals should be evaluated before the implementation and costs allocation. Evaluation methods can better identify strengths and weaknesses of the current situation apart from selecting appropriate model out of several suggestions, and clarify this technology development solution for organizations in the future. We will be able to simulate data and processes flow within the organization by converting the output of the model to colored Petri nets and evaluate and test it by examining various inputs to enterprise architecture before implemented in terms of reliability and response time. A model of application has been studied for the proposed model and the results can describe and design architecture for data.

Every day, we deal with the information, which are under uncertainty and managing this type of information with classical database systems brings a disadvantageous loss of data semantics along. Therefore, advanced database modeling techniques are necessary. Entrance of object orienting concept in databases helps relational database gradually use object oriented database in various fields. With the advances in this field, simple objects alone are not able to include complex data types and complex objects are necessary. On the other hand, for solving the problem of fuzzy data, several methods have been presented. One of these methods for modeling databases is an approach, which couples object-oriented database modeling with fuzzy logic. In this research, we observe the compilation of XML and fuzzy to represent a suitable approach for queries in object-oriented databases. In this paper, by combining sql and fuzzy XML tags, a language and independent database for storing and retrieving queries is prepared. We study database queries in two forms of simple and complex. In the form of complex, we use conjunctive queries.

With the increasing use of the Unified Modeling Language (UML) diagrams to describe the software’s architecture and the importance of evaluating nonfunctional requirements at the level of software architecture, creating an executable model from these diagrams is essential. On the other hand, the UML diagrams do not directly provide features to evaluate nonfunctional system requirements. Thus, these capabilities can be added to UML diagrams by applying efficiency and reliability stereotypes. Because the techniques used in the UML is able to deal with certain matters, we develop uncertain UML, stereotypes and tags. In this paper, the architecture of a software system is described by using use case diagram, sequence and deployment of unified modeling language diagrams with annotations fuzzy stereotypes related to response time and reliability. The proposed method for calculating the response time and reliability based on fuzzy rules are introduced, and the algorithm is implemented for an executable model based on colored fuzzy Petri net.

Nowadays with the growth of organizations and their affiliates, the importance of information systems has increased. Functional and non-functional requirements of information systems in an organization are supported. There are literally several techniques to support the functional requirements in terms of software methodologies, but support for the second set of requirements has received little attention. Software Performance Engineering (SPE) forum tries to address this issue by presenting software methodologies to support both types of requirements. In this paper, we present a formal model for the evaluation of system performance based on a pragmatic model. Because of supporting the concurrency concepts, petri net has a higher priority than queuing system. For mapping UML to colored Petri net diagram, we use an intermediate graph. The preliminary results indicate that the proposed model may save significant amount of computations.

During the past few years, there has been growing interest to use unified modeling language (UML) to consider the functional requirements. However, lacking a tool to detect the accuracy and the logic of diagrams in this language makes a formal model indispensable. In this study, conversion of primary UML model of a system to a colored Petri net has been accomplished in order to examine the precision of the model. For this purpose, first the definition of priority and implementation tags for UML activity diagram are provided; then it is turned into colored Petri net. Second, the proposed model provides translated tags in terms of net transitions and some monitors are used to control the system characteristics. Finally, an executable model of UML activity diagram is provided so that the designer could simulate the model by using the simulation results to detect and to refine the problems of the model. In addition, by checking the results, we find out the proposed method enhances authenticity and accuracy of early models and the ratio of system validation increases compared with previous methods.

By everyday development of storage and communicational and electronic media, there are significant amount of information being collected and stored in different forms such as electronic documents and document databases makes it difficult to process them, properly. To extract knowledge from this large volume of documental data, we require the use of documents organizing and indexing methods. Among these methods, we can consider clustering and classification methods where the objective is to organize documents and to increase the speed of accessing to required information. In most of document clustering methods, the clustering is mostly executed based on word frequency and considering document as a bag of words. In this essay, in order to decrease the number of features and to choose basic document feature, we use background knowledge and word clustering methods. In fact by using WordNet ontology, background knowledge and clustering method, the similar words of documents are clustered and the clusters with the number of words more than threshold are chosen and then their frequency of words is accepted as the effective features of document. The results of this proposed method simulation shows that the documents dimensions are decreased effectively and consequently the performance of documents clustering is increased.

A model is a simple and straightforward performance of structure and behavior of the system under study expressed as mathematical relations. In fact, with a model, knowledge and information on modeled phenomenon are prepared and the cost and risk of applying actual phenomenon are eliminated. Petri nets, on the other hand, are used to determine the important information on structure and behavior in modeled system and formal models are mainly state dependent requirements. These requirements are significantly indefinite and can be expressed by language variables. If XML labels can express the formal models (Fuzzy Petri net) as the most valid data format, then we will have relationships with other data format. In this study, characteristics of a Fuzzy Colored Petri Net are expressed by fuzzy developed Markup Language labels. Therefore, in addition to fuzzy XML labels, the concept “color” will be used for them. Application and advantages of suggested method will be determined by a case study in bank facility system. The results of the evaluation indicate the advantages of the suggested grammar for supporting elements available in fuzzy formal models.

The rapid growth of the web and the lack of structure or an integrated schema create various issues to access the information for users. All users’ access on web information are saved in the related server log files. The circumstance of using these files is implemented as a resource for finding some patterns of user & apos; s behavior. Web mining is a subset of data mining and it means the mining of the related data from WWW, which is categorized into three parts including web content mining, web structure mining and web usage mining, based on the part of data, which is mined. It seems necessary to have a technique, which is capable of learning the users’ interests and based on the interests, which could filter the unrelated interests automatically or it could offer the related information to the user in reasonable amount of time. The web usage mining makes a profile from users to recognize them and it has direct relationship to web personalizing. The primary objective of personalizing systems is to prepare the thing, which is required by users, without asking them explicitly. In the other way, formal models prepare the possibility of system’s behavior modeling. The Petri and queue nets as some samples of these models can analyze the user & apos; s behavior in web. The primary objective of this paper is to present a colored Petri net to model the user & apos; s interactions for offering a list of pages recommendation to them in web. Estimating the user & apos; s behavior is implemented in some cases like offering the proper pages to continue the browse in web, ecommerce and targeted advertising. The preliminary results indicate that the proposed method is able to improve the accuracy criterion 8.3% rather static method.