Data mining technology and the data mining process of the intelligent miner

Abstract

Information technology lias developed very rapidly. Many organizations store increasingly large volumes of data on their computer systems. Useful information might be hidden in the data in the form of implicit patterns and connections that are not easy to discern using conventional data queries and statistical calculations. Data mining is tlie process ofdiscoverinp, valid, previously unknown, and ultimately comprehensible information from large store of data. lA-tracted information could be used to form a prediction or classification model, or to identify similarities between I'ac'basi"' records, 'fir.; resulting infornial.ion can help to make more informed decisions. The Intelligent Miner supports variety of data mining tasks. For example, a retail store might use the Intelligent Miner to identify groups of customers that are most likely to respond to new products and services or to identify new opportunities for cross-selling. An insurance company might use the Intelligent Miner with claims data to isolate likely fraud indicators.