Now showing items 1-7 of 7

    • Combining decision trees classifiers: a case study of automatic sleep stage scoring 

      Khasawneh, Natheer; Conrad, Stefan; Fraiwan, Luay; Taqieddin, Eyad; Khasawneh, Basheer (Inderscienceonline, 2012)
      This paper presents a new approach of classification in which multiple decision trees are combined together for achieving better accuracy compared to that achieved by each of the individual constituent decision trees. A ...
    • A Framework for Automated Association Mining Over Multiple Databases 

      Esma Nur Çinicioğlu; Gürdal Ertek; Deniz Demirer (IEEE, 2011)
      Literature on association mining, the data mining methodology that investigates associations between items, has primarily focused on efficiently mining larger databases. The motivation for association mining is to use the ...
    • A Framework for Visualizing Association Mining Results 

      Gural Ertek; Ayhan Demiriz (2006)
      Association mining is one of the most used data mining techniques due to interpretable and actionable results. In this study we propose a framework to visualize the association mining results, specifically frequent itemsets ...
    • Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis 

      Gurdal Ertek; Bengi Tokdil; İbrahim Günaydın (Springer, 2014)
      The topic of this paper is the Alzheimer’s Disease (AD), with the goal being the analysis of risk factors and identifying tests that can help diagnose AD. While there exists multiple studies that analyze the factors that ...
    • Text mining with rapidminer 

      Dilek Tapucu; Gurdal Ertek; Inanc Arin (John & Willey Publication, 2013)
      The goal of this chapter is to introduce the text mining capabilities of RAPIDMINER through a use case. The use case involves mining reviews for hotels at TripAdvisor.com, a popular web portal. We will be demonstrating ...
    • Visual and analytical mining of transactions data for production planning for production planning and marketing 

      Gurdal Ertek; Can Kuruca; Cenk Aydin; Besim Ferit Erel (The Pennsylvania State University, 2004-01)
      Recent developments in information technology paved the way for the collection of large amounts of data pertaining to various aspects of an enterprise. The greatest challenge faced in processing these massive amounts of ...
    • Wind Turbine Accidents: A Data Mining Study 

      Sobhan Asian; Gurdal Ertek; Cagri Haksoz; Sena Pakter; Soner Ulun (IEEE, 2017)
      While the global production of wind energy is increasing, there exists a significant gap in the academic and practice literature regarding the analysis of wind turbine accidents. Our paper presents the results obtained ...