Implementation of C-Trend for Commercial Application

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Provided by: International Journal of Engineering Associates
Topic: Data Management
Format: PDF
Data mining has made broad and significant progress since its early beginnings. Today data mining is used in a vast array of areas, and numerous commercial data mining system that are available. There are many data mining systems and research prototypes to choose from. When selecting a data mining product that is appropriate for one's task, it is important to consider various features of data mining systems from a multidimensional point of view. Researchers have been striving to build theoretical foundations for data mining. Various clustering techniques have been used for identifying and visualizing trends in multi-attribute transactional data.
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