Data mining is a synonym for knowledge discovery. Data mining also refers to a specific step in the knowledge discovery process, a process that focuses on the application of specific algorithms used to identify interesting patterns in the data repository. These patterns are then conveyed to an end user who converts these patterns into useful knowledge and makes use of that knowledge.mining has evolved out of the need to make sense of huge quantities of information. Usama M. Fayyad says that stored data is doubling every nine months and the Ѓgdemand for data mining and reduction tools increase exponentially (Fayyad, Piatetsky-Shapiro, & Uthurusamy, 2003, p. 192).Ѓh In 2006, $6 billion in text and data mining activities are anticipated (Zanasi, Brebbia, & Ebecken, 2005).U.S. government is involved in many data mining initiatives aimed at improving services, detecting fraud and waste, and detecting terrorist activities. One such activity, the work of Able Danger, had identified one of the men who would, one year later, participate in the 9/11 attacks (Waterman, 2005). This fact emphasizes the importance of the final step of the knowledge discovery process: putting the knowledge to use.U.S. governments data mining activities have helped stir concerns about data mining and their impact on privacy (Boyd, 2006). Privacy preserving data mining has only recently caught the attention of researchers (Verykios, Bertino, Fovino, Provenza, Saygin & Theodoridis, 2004).is much work to done in the area of knowledge discovery and data mining, and its future depends on developing tools and techniques that yield useful knowledge without causing undue threats to individualsЃf privacy.
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