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Data Mining Issues t Mining Methodology & User Interaction + Mining different kinds of knowledge in databases + Interactive mining of knowledge at multiple levels of abstraction + Incorporation of background knowledge + Data mining query languages and ad hoc data mining - Presentation and visualisation of data mining results + Handling noisy or incomplete data + Pattern evaluation : | Performance Issues + Efficiency and scalability of data mining algorithms + Parallel, distributed, and incremental mining algorithms Diverse Data Types | = + Handling of relational and complex types of data + Mining information from heterogeneous databases and global information systems