What is knowledge discovery in Databases? Discuss Basket analysis in Data Mining.

Knowledge discovery in databases (KDD) refers to the process of automatically identifying useful and previously unknown information from large sets of data. This process typically involves several steps, including data cleaning and preprocessing, data integration, data selection, data mining, pattern evaluation, and knowledge representation and interpretation. The goal of KDD is to extract actionable insights and meaningful patterns from data that can be used to make informed decisions, improve business processes, and develop new products and services.

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