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