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BI4MASSES

Title
Business Intelligence for the Masses
Funding
EC | FP7 | SP3 | PEOPLE
Call
FP7-PEOPLE-2009-RG
Contract (GA) number
256537
Start Date
2010/07/02
End Date
2014/07/01
Open Access mandate
no
Special Clause 39
no
Organizations
OZYEGIN UNIVERSITY OZUN
More information
Detailed project information (CORDIS)

 

  • A survey of software testing in the cloud

    İnçki, K.; Arı, İsmail; Sözer, Hasan (2012)
    Projects: EC | BI4MASSES (256537)
    Due to copyright restrictions, the access to the full text of this article is only available via subscription. Cloud computing has emerged as a new computing paradigm that impacts several different research fields, including software testing. Testing cloud applications has its own peculiarities that demand for novel testing methods and tools. On the other hand, cloud computing also facilitates and provides opportunities for the development of more effective and scalable software testing te...

    An iterative approach for clustering optimization and validation

    Gümüş, H.; Korkmaz Özay, E.; Arı, İsmail; Çataltepe, Z. (2012)
    Projects: EC | BI4MASSES (256537)
    Due to copyright restrictions, the access to the full text of this article is only available via subscription. Clustering is a common technique, in all areas where information is obtained from the collected data. In this work, three well-known clustering algorithms namely, K-means, Spectral and DBSCAN are investigated in terms of their validity using four clustering validity indexes, Rand, Adjusted Rand, Jaccard, Silhouette. These clustering algorithms are applied on three data sets whi...

    Kombi̇natoryal test tekni̇kleri̇ni̇n karmaşık olay i̇şleme motorlarında uygulanması

    Arı, İsmail; Ölmezoğulları, E.; Sözer, Hasan (2012)
    Projects: EC | BI4MASSES (256537)
    Due to copyright restrictions, the access to the full text of this article is only available via subscription. Testing practice has a critical place during the design, implementation and integration of software, hardware and complex systems composed of these. Cost of failures caused by bugs that could not be detected and fixed early in the process increase in a multiplicative way and adversely affect the overall projects costs. However, trying to do comprehensive tests generating correct o...

    Büyük veri problemlerine çözüm olarak veri akış madenciliği

    Ölmezoğulları, E.; Arı, İsmail; Çelebi, Ö. F.; Ergüt, S. (2013)
    Projects: EC | BI4MASSES (256537)
    Due to copyright restrictions, the access to the full text of this article is only available via subscription. Günümüzde bilişim dünyası faydalı bilgiye ulaşma yolunda “büyük veri” problemleri (verinin kütlesi, hızı, çeşitliliği, tutarsızlığı) ile baş etmeye çalışmaktadır. Bu makalede, büyük veri akışları üzerinde İlişkisel Kural Madenciliği’nin (İKM) daha önce literatürde yapılmamış bir şekilde “çevrimiçi” olarak gerçeklenme detayları ile başarım bulguları paylaşılacaktır. Akış madenciliğ...

    Data stream analytics and mining in the cloud

    Arı, İsmail; Ölmezoğulları, E.; Çelebi, Ö. F. (2012)
    Projects: EC | BI4MASSES (256537)
    Due to copyright restrictions, the access to the full text of this article is only available via subscription. Due to prevalent use of sensors and network monitoring tools, big volumes of data or “big data” today traverse the enterprise data processing pipelines in a streaming fashion. While some companies prefer to deploy their data processing infrastructures and services as private clouds, others completely outsource these services to public clouds. In either case, attempting to store th...

    Online association rule mining over fast data

    Ölmezoğulları, E.; Arı, İsmail (2013)
    Projects: EC | BI4MASSES (256537)
    Due to copyright restrictions, the access to the full text of this article is only available via subscription. To extract useful and actionable information in real-time, the information technology (IT) world is coping with big data problems today. In this paper, we present implementation details and performance results of ReCEPtor, our system for "online" Association Rule Mining (ARM) over big and fast data streams. Specifically, we added Apriori and two different FP-Growth algorithms insi...
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