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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 ProgramıWith 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.Yayın Re-mining positive and negative association mining results(Springer-Verlag Berlin, 2010) Demiriz, Ayhan; Ertek, Gürdal; Atan, Sabri Tankut; Kula, UfukPositive 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 pYayın 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, UfukAssociation 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.Yayın Drought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basin(Springer Science and Business Media B.V., 2025-05) Terzi, Tolga Barış; Önöz, BihratDrought is a detrimental natural hazard that is a threat to the social and ecological aspects of life. Unlike other natural hazards, drought occurs slowly and gradually, making it difficult to detect its formation, leading to severe consequences in the affected area. Therefore, precise and reliable monitoring of drought is crucial to implement effective drought mitigation strategies. Drought indices are significant tools for drought monitoring; single variable indices are quite frequently used in the literature to assess drought conditions. Although these indices are generally accurate at characterizing the specific type of drought they were developed for, they fail to provide a comprehensive representation of drought conditions. Hence, this study applies a nonparametric multivariate standardized drought index (MSDI) that integrates meteorological and hydrological drought to investigate the dynamics of drought events within the Seyhan River Basin (SRB). Trend analyses were conducted to detect any directional changes in the drought patterns within the SRB. Additionally, this study examined the potential effects of El Nino-Southern Oscillation events on the MSDI series to determine their impact on drought conditions in the SRB. The results indicate that the MSDI outperforms the single variable indices in characterizing drought conditions within the basin. The calculations conducted for 5 different time scales 1, 3, 6, 9 and 12-months showed satisfactory results in multivariate analysis of drought. Upon examining the trend analyses, MSDI series showed an insignificant negative trend in all stations within the SRB. The MSDI series was strongly influenced by Nino 3.4 and Arctic Oscillation (AO) indices while sunspot activities had a relatively weak impact on the MSDI series.
