Abstract The mining of temporal databases using cyclic approach is gaining momemtum at present. In the last few years many works addressed the system of generating rules for producting better rules which have varying effectiveness. Through this work, we introduced a newer method of cyclic association rules which used many features and perceptions. Tis paper Besides, this paper has generated a... The mining of temporal databases using cyclic approach is gaining momemtum at present. In the last few years many works addressed the system of generating rules for producting better rules which have varying effectiveness. Through this work, we introduced a newer method of cyclic association rules which used many features and perceptions. Tis paper Besides, this paper has generated a new kind of algorithm and which we tested in the real life system. Read More Read Less

Abstract Use case point (UCP) method has been proposed to estimate software development effort in early phase of software project and used in a lot of software organizations. Intuitively, UCP is measured by counting the number of actors and transactions included in use case models . This paper describes the idea to automatically classify the complexity of use cases from use... Use case point (UCP) method has been proposed to estimate software development effort in early phase of software project and used in a lot of software organizations. Intuitively, UCP is measured by counting the number of actors and transactions included in use case models . This paper describes the idea to automatically classify the complexity of use cases from use case model. Even though several estimation procedures are available the Neural Network and fuzzy models presents advantages over normal estimation procedure. In this paper we develop a fuzzy Neural Network model to estimate the effort of software using Use Case Point approach based on calibrate weights after learning from software projects data . In our proposed system fuzzy neural network use case point has less error and system worked more accurate and appropriative than prior methods. Read More Read Less

Abstract Use case size point (USP) method has been proposed to estimate object oriented software development effort in early phase of software project and used in a lot of software organizations. Intuitively, USP is measured by counting the number of actors, preconditions, postconditions, scenarios included in use case models.This paper describes the idea to automatically classify the weight of this factors... Use case size point (USP) method has been proposed to estimate object oriented software development effort in early phase of software project and used in a lot of software organizations. Intuitively, USP is measured by counting the number of actors, preconditions, postconditions, scenarios included in use case models.This paper describes the idea to automatically classify the weight of this factors from use case model. Even though several estimation procedures are available the Neural Network and fuzzy models presents advantages over normal estimation procedure. In this paper we develop a fuzzy Neural Network model to estimate the effort of object oriented software using Use Case size Point approach. In our proposed system fuzzy neural network use case size point has less error and system worked more accurate and appropriative than prior methods. Read More Read Less

Abstract Usage of recognition systems has found many applications in almost all fields. Generally in design of combinational classifier systems, the more diverse the results of the classifiers, the more appropriate final result. However, Most of classification algorithms have obtained good performance for specific problems; they have not enough robustness for other problems. Combination of multiple classifiers can be considered as... Usage of recognition systems has found many applications in almost all fields. Generally in design of combinational classifier systems, the more diverse the results of the classifiers, the more appropriate final result. However, Most of classification algorithms have obtained good performance for specific problems; they have not enough robustness for other problems. Combination of multiple classifiers can be considered as a general solution method for pattern recognition problems. It has been shown that combination of classifiers can usually operate better than single classifier provided that its components are independent or they have diverse outputs. It was shown that the necessary diversity of an ensemble can be achieved manipulation of data set features. We also propose a new method of creating this diversity. The ensemble created by proposed method may not always outperforms all classifiers existing in it, it is always possesses the diversity needed for creation of ensemble, and consequently it always outperforms the simple classifier. Read More Read Less

Abstract A rigorous management of pharmaceuticals is directly related to a country’s ability to address public health concerns. The problem of management of pharmaceutical stocks in health systems is of great importance in a context of scarce resources, increasing medicines demand and inciting control costs. Because medicines are resources so important and so limited, ways must be developed to improve their... A rigorous management of pharmaceuticals is directly related to a country’s ability to address public health concerns. The problem of management of pharmaceutical stocks in health systems is of great importance in a context of scarce resources, increasing medicines demand and inciting control costs. Because medicines are resources so important and so limited, ways must be developed to improve their supply and their costs. In this paper, we propose to explore an uncoupled approach: agents and web services for cooperative management of pharmaceutical stocks to minimize costs within the maintaining quality and continuity of care. A cooperative management based on an agent paradigm, is proposed and articulated around Resource Agents and Federator Agents and allows each site to store an optimal quantity and to avoid over-storage or under-storage of medicines. We use, as technological framework, Web Services which make applications possible to expose their functionalities through standardized interfaces using agents. Read More Read Less