Data Reduction in Data Mining Data mining is applied to the selected data in a large amount database. When data analysis and…
implementation process
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Data Transformation in Data Mining Raw data is difficult to trace or understand. That’s why it needs to be preprocessed before retrieving…
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Data Wrangling? These days almost anything can be a valuable source of information. The primary challenge lies in extracting the insights from…
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What is CRISP in Data Mining? CRISP-DM stands for the cross-industry standard process for data mining. The CRISP-DM methodology provides a structured…
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Data Mining Vs Big Data Data Mining uses tools such as statistical models, machine learning, and visualization to “Mine” (extract) the useful…
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Data Mining MCQ This section of interview questions and answers focuses on “Data Mining”. One can practice these interview questions to improve…
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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…