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Data Mining as a part of Knowledge Discovery Process

Knowledge discovery in databases typically encompasses more than data mining. The knowledge discovery process comprises six phases : data selection, data cleansing, enrichment, data transformation or encoding, data mining and the reporting and display of the discovered information. Data mining addresses inductive knowledge. Knowledge can be represented in an unstructured sense, it can be represented […]

Stages and Goals of Data Mining

Data Mining is an analytic process designed to explore data (usually large amounts of data – typically business or market related) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. The process of data mining consists of three […]

Introduction to Data Mining

Data mining is the process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques. Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in […]