Filtreler

2002 - 200912010 - 20112
Filtreleri Sıfırla

Ayarlar

Erişim Hakkı: info:eu-repo/semantics/closedAccess × Konu: Framework ×

Arama Sonuçları

Listeleniyor 1 - 3 / 3
  • Küçük Resim
    Yayın
    A framework implementing a suit of design patterns for web applications
    (Işık Üniversitesi, 2002-09) Kılavuz, Alper; Kuru, Selahattin; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans Programı
    With the rapid improvement, Internet applications became the main field in software development and hundreds of developers are working on web projects all over the world for meeting customer needs.The rapid increase in the web projects and the number of web developers has created a chaotic situation. Many of developers are deprived of a guide for developing a perfect Object Oriented code in these projects. We can overcome these problems by using a framework. The Framework relates many design patterns for solving Internet application development. Compared with a loose collection of patterns, the framework provides rules for design patterns to work together to solve a set of related problems.Relating many design patterns for solving Internet application development, the framework provides rules for design patterns to work together to solve a set of related problems,initials a collection of co-related design patterns.
  • Küçük Resim
    Yayın
    Re-mining positive and negative association mining results
    (Springer-Verlag Berlin, 2010) Demiriz, Ayhan; Ertek, Gürdal; Atan, Sabri Tankut; Kula, Ufuk
    Positive and negative association mining are well-known and extensively studied data mining techniques to analyze market basket data. Efficient algorithms exist to find both types of association, separately or simultaneously. Association mining is performed by operating on the transaction data. Despite being an integral part of the transaction data, the p
  • Küçük Resim
    Yayın
    Re-mining item associations: Methodology and a case study in apparel retailing
    (Elsevier Science BV, 2011-12) Demiriz, Ayhan; Ertek, Gürdal; Atan, Sabri Tankut; Kula, Ufuk
    Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analysis in earlier studies. This paper proposes a new approach to mine price, time and domain related attributes through re-mining of association mining results. The underlying factors behind positive and negative relationships can be characterized and described through this second data mining stage. The applicability of the methodology is demonstrated through the analysis of data coming from a large apparel retail chain, and its algorithmic complexity is analyzed in comparison to the existing techniques.