Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Mining - Methoden in der Simulation

Data Mining - Methoden in der Simulation

Seib, Enrico

Paperback

General ComputersProgramming

ISBN10: 3640146484
ISBN13: 9783640146482
Publisher: Grin Verlag
Published: Sep 3 2008
Pages: 144
Weight: 0.43
Height: 0.34 Width: 5.83 Depth: 8.27
Language: German
Bachelorarbeit aus dem Jahr 2008 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,0, Universität Rostock (Institut für Informatik, Lehrstuhl für Modellierung und Simulation), Sprache: Deutsch, Abstract: Principles and methods of data mining are a widespread area, i.e. retail dealer use data mining tools to analyze the behavior of customers, computer hardware supplier use data mining to optimize their inventory. There are multiple possibilities of using data mining techniques, even in technical and scientific areas of applications. In regard of manyfold fields of application, there are no less than the number of techniques and methods for Data Mining in existence. Another field to apply Data Mining technique is the domain of simulation. Simulation is the computer-based approach of executing and experimenting of and with models. One aim of this thesis is to analyze data mining tools to see how capable they are solving data mining duties with respect to data calculated by simulation. Different data mining tools are analyzed, commercial tools like SPSS and SPSS Clementine as well as established and freely available tools like WEKA and the R-Project. These tools are analyzed in matters of their data mining functionalities, options to access different data sources, and their complexity of different data mining algorithms. Beyond the analysis of data mining tools with respect to functionality and simulation, envi-ronments for modeling and simulation are analyzed with respect to their possibilities of the utilization for data mining. These environments are the commercial tools Arena and Any-Logic and the freely available SeSam-Project. The effect of all processes of analyzing is a ranking of commonly used data mining tech-niques and concepts. The second part of the thesis occupies with the problem, which data mining method or technique is useful to analyze data provided by a simulation process. It also concerns in which way a method is suitable for the valida

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