Rembrandt has been performing data mining and providing specialized resources to the Fortune 100 for more than 10 years.

What is Data Mining? Data mining (the analysis step of the “Knowledge Discovery in Databases” process, or KDD), is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems.

The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.

Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization and online updating.

The term is a misnomer, because the goal is the extraction of patterns and knowledge from large amount of data, not the extraction of data itself. It also is a buzzword and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis and statistics) as well as any application of computer decision support system, including artificial intelligence, machine learning. and business intelligence.