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Öğe Data Mining, Weka Decision Trees(31 Aralık 2023) Doğan, Tuğba; Duran, Zekeriya; Akargöl, İsmailNowadays, computer technologies are increasing rapidly. Thanks to the development of computer technologies, large and complex raw data sets can be transformed into useful information with different analysis techniques. Different algorithms developed thanks to computer technologies can offer different solutions to scientists and users working in different branches of science, especially engineering sciences, mathematics, medicine, industry, financial/economic fields, marketing, education, multimedia and statistics. Thanks to these solutions, it is possible to easily achieve the desired goals and objectives. Thus, by correctly managing and analyzing existing data in large and complex raw data datasets, accurate predictions can be made to be used in similar problems in the future. Data sets are analyzed and evaluated using different methods. It is also possible that the classification of data during the analysis and evaluation stages of data sets significantly affects the decision-making process regarding the work to be done. Classification of data can be done by statistical method or data mining method. Decision trees, which can be used to classify numerical and alphanumeric data, generally provide a great advantage for decision makers in terms of easy interpretation and understandability compared to other classification techniques. For these reasons, in this study, decision trees, one of the most used classification techniques in data mining, are mentioned.Öğe Phase-based evaluation of whole-body vibration exposure for hydraulic excavator operators(06 Kasım 2023) Doğan Tuğba; Erdem Bülent; Duran ZekeriyaHydraulic excavator operators' whole-body vibration exposure was studied with the guidelines set by several approaches. The most jolty and quiet phases were FORWARD and WAIT, respectively. Vibration magnitudes were inversely proportional to bucket capacity. Excavator service year and vibration exposure were positively correlated. Younger operators were exposed to higher levels of vibration. Vibration acceleration was negatively correlated to operator experience. Handling of large-sized rocks resulted in more vibration than soillike material. The most conservative method in estimating the hazard potential was the ISO 2631-1 'vector sum' while the probability of an adverse health effect was generally low according to the ISO 2631-5.Öğe Textural and mineralogical evidence for a Cadomian tectonothermal event in the eastern Mediterranean (Sandikli-Afyon area, western Taurides, Turkey)(ELSEVIER SCIENCE BV, 2006) Bozkaya, Omer; Gursu, Semih; Goncuoglu, Mehmet CemalIn the Sandikli-Afyon area, the very low-grade metamorphic Sandikli Basement Complex with elastic sediments and Late Neoproterozoic felsic igneous rocks are unconformably overlain by a cover succession with red continental elastic rocks, tholeiitic basalts and siliciclastic rocks with Early Cambrian trace fossils. Illite crystallinity studies reveal that both the basement and cover units were metamorphosed at high anchizonal to epizonal conditions (similar to 300 degrees C). Textural data together with the detailed evaluation of the P-T-b(0) grid, however, indicate that this thermal event has multiple phases. The first tectonothermal event was realized at pressures of similar to 4.2 kb on the basis of b(0)-data and resulted in development of blastomylonites. This is supported by the presence of dynamo-metamorphosed pebbles within the basal conglomerates of the Lower Paleozoic cover series. The second event is post-Ordovician-pre-Jurassic in age, occurred at lower pressures similar to 3.2 kb and produced a weakly developed cleavage in the siliciclastic rocks of the cover. The mineralogical/textural data across the basement-cover boundary therefore indicate the removal of an entire metamorphic zone and thus a metamorphic hiatus. These data suggest that the Taurides were affected by a Late Neoproterozoic event as part of the peri-Gondwana during the Cadomian orogeny. (c) 2006 International Association for Gondwana Research. Published by Elsevier B.V. All rights reserved.
