Major Issues in Data Mining

We can divide the major issues in data mining in three categories as follows:

1. Issues related to the mining methodology and user interaction issues

• 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 outlier or incomplete data
• Pattern evaluation              

      2. Issues related to the performance

• Efficiency and scalability of data mining algorithms
• Parallel, distributed and incremental updating algorithms

      3. Issues relating to the diversity of database types

• Handling of relational and complex types of data
• Mining information from heterogeneous databases and global information systems.

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