Polat, KemalMuthusamy, HariharanAcharya, RajendraGuo, Yanhui2021-06-232021-06-2320170941-06431433-3058https://doi.org/10.1007/s00521-017-3202-6https://hdl.handle.net/20.500.12491/9140A special issue of the Neural Computing and Applications (NCAA) is dedicated to ‘‘New trends in data pre-processing methods for signal and image classification.’’Data pre-processing is crucial for effective data mining. Low-quality data usually produce inaccurate and unpredictable outcomes. Today’s real-world data are greatly vulnerable to noise and getting lost due to either large data size or the sources of origin. Real-world data are often inconsistent and incomplete, and are possible to have several errors. These poor-quality data will result in poorquality mining outcomes. Data pre-processing enhances the data standard and subsequently aids to refine the value of data mining outcomes. Data pre-processing performs certain processing on raw original data to prepare it for further processing or analysis. In short, data pre-processing prepares original raw data for further processing. Data preprocessing converts the data into a form acceptable easily for further processing by the user.eninfo:eu-repo/semantics/openAccessData Pre-Processing MethodsSignal and Image ClassificationNeural ComputingEditorial10.1007/s00521-017-3202-62810283928412-s2.0-85029661606Q1WOS:000426865100001Q1