… 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 …

… 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 …

… advanced data preprocessing techniques and building data … data preprocessing techniques
for building operational data … a clear picture of data preprocessing methods for data-driven …

… of data preprocessing in heart disease knowledge discovery. We firstly present the use of data
preprocessing … Thereafter, we present the use of deep learning and data preprocessing in …

… Basic steps of alarm data preprocessing, as discussed in the previous parts, are rather
straightforward. However, there are two more steps that are of utmost importance and need more …

… data preprocessing, and are implemented as data transformation steps as part of pipelines
prior to using the data to … of these differences in preduction due to preprocessing, which we …

… consistency and quality of the data. Data preparation is a compulsory step in data preprocessing,
which prepares the useless data in a usable format to analyze in the next step of data …

… Many previous studies have applied data mining as a method for detecting anomaly in … data
mining to classifying those anomaly data. This is based on the facts that there are many data …

… new data preprocessing strategies and specifically reviews the emerging ensemble approaches
to preprocessing … In summary, ensemble preprocessing allows the selection of several …

… must first be transformed into suitable forms for mining. Data preprocessing is a major …
other steps such as data mining, has often accounted for more than 50 % of the total effort during …