Data mining is the
analysis of large sets of information, or big data, for pattern recognition. It is an essential process in data science because it enables data scientists to ask the right questions. Data science is important for the future of all industries, and data mining will continue to play a crucial role in the field as it grows.
Data mining, also called knowledge discovery in databases, in computer science, the process of discovering interesting and useful patterns and relationships in large volumes of data. The field combines tools from statistics and artificial intelligence (such as neural networks and machine learning) with database management to analyze large digital collections, known as data sets.
Data mining is a
systematic process of identifying and discovering hidden patterns and information in a large dataset. Data analysis is a subset of data mining, which involves analyzing and visualizing data to derive conclusions about past events and use these insights to optimize future outcomes.Data mining, on the other hand, is a specific
technique used within data science to extract patterns and knowledge from large data sets. It typically involves using algorithms and statistical methods to discover hidden patterns and relationships in data.
In the context of computer science, “ Data Mining” can be referred to as knowledge mining from data, knowledge extraction, data/pattern analysis, data archaeology, and data dredging. It is basically the process carried out for the extraction of useful information from a bulk of data or data warehouses.