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Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/253

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Browsing Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu by Author "107251"

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    A Real Time Data Warehouse Approach for Data Processing
    (IEEE, 2013) Obalı, Murat; Dursun, Bünyamin; Erdem, Zeki; Görür, Abdül Kadir; 107251
    Data that is acquired from different data sources needs too much processing for managing, analyzing and monitoring. Also, you have to fuse and exploit efficiently these data and display the results. Data warehouse consolidates data coming from different data sources. A real time data warehouse is used same purpose as data warehouse, in addition to these, data streams into real time data warehouse on time. Therefore, real time data warehouses can be used in many different areas, such as signal processing, data analysis. In this study, we proposed and implement a real time data warehouse using web services as a prototype.
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    Citation Count: Tolun, Mehmet R.; Sever, Hayri; Görür, A.Kadir, "Production and retrieval off rough classes in multi relations", GRC: 2007 IEEE International Conference On Granular Computing, Proceedings, pp. 192-198, (2007).
    Production and retrieval off rough classes in multi relations
    (IEEE Computer Soc, 2007) Tolun, Mehmet R.; Sever, Hayri; Görür, Abdül Kadir; 11916; 107251
    Organizational memory in today's business world forms basis for organizational learning, which is the ability of an organization to gain insight and understanding from experience through experimentation, observation, analysis, and a willingness to examine both successes and failures. This basically requires consideration of different aspects of knowledge that may reside on top of a conventional information management system. Of them, representation, retrieval and production issues of meta patterns constitute to the main theme of this article. Particularly we are interested in a formal approach to handle rough concepts. We utilize rough classifiers to propose a preliminary framework based on minimal term sets with p-norms to extract meta patterns. We describe a relational rule induction approach, which is called rila. Experimental results are provided on the mutagenesis, and the KDD Cup 2001 genes data sets.