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DataMIME (Data: Mine It More Efficiently)

Summary: DataMIME is a data mining system using Ptree-encoded vertical data representation to enable fast mining over large datasets. The vertical layout with Ptree processing boosts efficiency and scalability for association rule mining over row-based models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hf9833470232f3b40
Venue
SIGMOD
Year
2004
Pagerank
4.9793485e-05
Overall Rank
13,062 | 12.18%
DOI
10.1145/1007568.1007697

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Authors

BibTeX Citation

@inproceedings{serazi_sigmod04,
        title = {{DataMIME (Data: Mine It More Efficiently)}},
        author = {Serazi, Masum and Malakhov, Vasily and Ren, Dongmei and Perera, Amal and Rahal, Imad and Wu, Weihua and Ding, Qiang and Pan, Fei and Perrizo, William},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007697},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007697},
        year = {2004}
}

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

Rank Cited Paper Year Venue Pagerank
164 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00027412227
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