İnci Batmaz

TL;DR: An extensive review covering the literature from 1997 to 2007 and several analyses on selected quality tasks are provided on DM applications in the manufacturing industry, including product/process quality description, predicting quality, classification of quality, and parameter optimisation.

TL;DR: In this article, six imputation methods are assessed with respect to various criteria including accuracy, robustness, precision, and efficiency for artificially created missing data in monthly total precipitation and mean temperature series obtained from the Turkish State Meteorological Service.

TL;DR: In this article, the authors used a penalized residual sum of squares for MARS as a Tikhonov regularization problem, and treated this with continuous optimization technique, in particular, the framework of conic quadratic programming.

TL;DR: This study presents the new robust CMARS (RCMARS) in theory and method and results with different uncertainty scenarios for the authors' numerical example, and refine the CMARS algorithm by a robust optimization technique proposed to cope with data uncertainty.

TL;DR: In this article, the hierarchical clustering technique, called Ward method, was applied for grouping common features of air temperature series, precipitation total and relative humidity series of 244 stations in Turkey, which exhibited the impact of physical geographical features of Turkey, such as topography, orography, land-sea distribution and the high Anatolian peninsula on the geographical variability.