… data processing and analysis. The presence of data preprocessing methods for data mining
in big data … and categorization of data preprocessing approaches in big data are introduced. …

… of data preprocessing, focusing on problems of real world data. … and solved before any data
analysis process can start. The … for performing data preprocessing: (i) problems with the data …

… for further data mining algorithms. This book covers the set of techniques under the umbrella
of data preprocessing, being a comprehensive book devoted completely to the field of Data …

… Part of data reduction but with particular importance, especially for numerical data …
inconsistent with other recorded data and thus deleted ∎ data not entered due to …

… data preprocessing techniques which are used for data mining. … data preprocessing techniques
have an efficient, effective and important role in preparation, analysis, process large data-…

… that preprocess the data to remove discrimination before a classifier is learned. We survey
and extend our existing data preprocessing … or resampling the data to remove discrimination …

… data collection. Throughout this survey, we summarize, categorize and analyze those
contributions on data preprocessing that cope with streaming data. This … data stream …

… overview of data preprocessing in Big Data, enabling Smart Data. It … Data for which the
application of data preprocessing techniques can suppose a real challenge. Data preprocessing …

… This paper addresses issues of data pre-processing that can have a significant impact on …
step of data pre-processing so that one achieves the best performance for their data set. …

… data-classes (Batista et al., 2004; Estabrooks et al., 2004), but it still remains a problem that
requires further study. The data preprocessing … Next, the preprocessing steps are properly …