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Data mining means pulling out important datas

Data mining tools are used for the purposes of examining the data from various viewpoints and summarizing it into a useful database library. Data Mining is defined as the extraction of required information or knowledge from large databases. Data mining is the retrieving of hidden information from data using algorithms. Data mining helps to extract useful information from great masses of data, which can be used for making practical interpretations for business decision-making. As a concept, data mining has always existed since the past and manual processes were used as data mining tools. Later with the advent of fast processing computers, analytical software tools, and increased storage capacities automated tools were developed, which drastically improved the accuracy of analysis, data mining speed, and also brought down the costs of operation. This is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. The tools related to this new technology predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. It is basically a technical and mathematical process that involves the use of software and specially designed programs. Data mining is thus also known as Knowledge Discovery in Databases (KDD) since it involves searching for implicit information in large databases. Data mining basically means pulling out important information from huge volume of data.