implementation process

Data Reduction in Data Mining Data mining is applied to the selected data in a large amount database. When data analysis and…

Data Transformation in Data Mining Raw data is difficult to trace or understand. That’s why it needs to be preprocessed before retrieving…

Data Wrangling? These days almost anything can be a valuable source of information. The primary challenge lies in extracting the insights from…

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…

Data Mining Vs Big Data Data Mining uses tools such as statistical models, machine learning, and visualization to “Mine” (extract) the useful…

Data Mining MCQ This section of interview questions and answers focuses on “Data Mining”. One can practice these interview questions to improve…

KDD- Knowledge Discovery in Databases The term KDD stands for Knowledge Discovery in Databases. It refers to the broad procedure of discovering…

KDD vs Data Mining KDD (Knowledge Discovery in Databases) is a field of computer science, which includes the tools and theories to…

What is Forecasting in Data Mining? Forecasting involves predicting what can happen in the future by considering past and present events and…

Numerosity Reduction in Data Mining The data reduction process reduces data size and makes it suitable and feasible for analysis. In the…