Data mining defines extracting or mining knowledge from huge amounts of data. Data mining is generally used in places where a huge amount of data is saved and processed. For example, the banking system uses data mining to save huge amounts of data which is processed constantly.In Data mining, hidden patterns of data are considering according to the multiple categories into a piece of useful data. This data is assembled in an area including data warehouses for analyzing it, and data mining algorithms are performed. This data facilitates in creating effective decisions which cut value and increase revenue.There are various ... Read More

Data mining is a process of extracting useful information and data patterns from data, whereas a data warehouse is a database management system developed to support the management functions. Read this article to learn more about Data Mining and Data Warehousing and how they are different from each other. What is Data Mining? Data Mining is a process used to determine data patterns and extract useful information from data. It can be understood as a general method to extract useful data from a set of data. In the data mining process, data is analyzed repeatedly to find patterns. Data mining ... Read More

Descriptive data mining and predictive data mining are mining techniques that are used to find useful information and patterns in large datasets. Descriptive data mining is a data mining technique that analyzes the past data to provide latest information on past events, while predictive data mining is a data mining technique that is used to analyze past data and provides answers of future queries. Read this this article to learn more about descriptive and predictive data mining techniques and how they are different from each other. What is Descriptive Data Mining? Descriptive data mining is a data mining technique that ... Read More