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Data mining has been defined as "The process of discovering useful information in large data repositories" (Tan et al., 2006). It focuses on the discovery of valid, previously unknown, and actionable patterns and relationships. In its search for patterns, associations and descriptions, it goes beyond the simple retrieval of base facts and aggregations. Data mining frequently employs complex statistical and machine learning algorithms to extract this information. Given the large volumes of data on which data mining analysts usually work, the question of where to begin is often asked. This paper presents an approach that one has developed that uses three locally developed visual tools to conduct some of the introductory steps of data mining.
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