Data Mining Techniques

Summary: Database-perspective survey of data mining techniques; outlines advances in knowledge discovery in databases. Reviews core mining methods (generalization, clustering, classification, association) and visualization; covers meta-rule guided mining across relational, transactional, object-oriented, spatial, and active databases and global information systems; discusses applications and research issues. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2979
Venue: SIGMOD
Year: 1996
Pagerank: -
Overall Rank: 14,219 | 2.45%
DOI: 10.1145/233269.280351

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Authors

1. Jiawei Han (Simon Fraser University)

BibTeX Citation

@inproceedings{han_sigmod96,
        title = {{Data Mining Techniques}},
        author = {Han, Jiawei},
        series = {{SIGMOD} '96},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/233269.280351},
        url = {https://dl.acm.org/doi/10.1145/233269.280351},
        year = {1996}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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