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What is data mining? Analysing large sets of data to find out useful patterns is known as data mining. It is all about finding previously unknown relationships within different sets of data. Data mining needs multi-disciplinary skill sets such as machine learning, statistics, AI and database technology. Data mining can be used for marketing, fraud detection and scientific discoveries. It is also known as knowledge discovery, knowledge extraction, data analysis or pattern analysis. Types of data required for data mining Relational databases Advanced databases and information repositories Transactional databases Spatial databases Legacy databases Multimedia and streaming data Text databases Web databases Implementation of data mining process Goal Setting: In the first phase the business understanding and goal of data mining are established. Data Check: In the second phase the data is checked for quality and type to make sure that it is fit for data mining. P...