What is Binning in Data Mining? Data binning, also called discrete binning or bucketing, is a data pre-processing technique used to reduce…
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kdd process
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History of Data Mining In the 1990s, the term “Data Mining” was introduced, but data mining is the evolution of a sector…
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What is Boosting in Data Mining? Boosting is an ensemble learning method that combines a set of weak learners into strong learners…
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KDD- Knowledge Discovery in Databases The term KDD stands for Knowledge Discovery in Databases. It refers to the broad procedure of discovering…
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KDD vs Data Mining KDD (Knowledge Discovery in Databases) is a field of computer science, which includes the tools and theories to…
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What is Forecasting in Data Mining? Forecasting involves predicting what can happen in the future by considering past and present events and…
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Numerosity Reduction in Data Mining The data reduction process reduces data size and makes it suitable and feasible for analysis. In the…
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What is Multimedia Data Mining? Multimedia mining is a subfield of data mining that is used to find interesting information of implicit…
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Orange Data Mining Orange is a C++ core object and routines library that incorporates a huge variety of standard and non-standard machine…
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What is Noise in Data Mining? Noisy data are data with a large amount of additional meaningless information called noise. This includes…