data mining architecture

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…

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…

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 Selection in Data Mining Data selection is defined as the process of determining the appropriate data type and source and suitable…

Redundancy and Correlation in Data Mining In this article, we will learn Redundancy and correlation in data mining with some examples. What…

What is Outlier in data mining Whenever we talk about data analysis, the term outliers often come to our mind. As the…

Market Basket Analysis in Data Mining Market basket analysis is a data mining technique used by retailers to increase sales by better…