Data Mining and Knowledge Discovery in Database

Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. The motive of mining is to find a new generation of computational theories and tools to assist humans in extracting useful information (knowledge) from the rapidly growing volumes of digital data. This paper provides real-world applications, specific data-mining techniques, challenges involved knowledge discovery.

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International Journal of Engineering Trends and Technology
Data Management