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Indexing and Mining Streams

Summary: Tutorial on indexing and mining sensor streams: patterns, compression, forecasting, outlier detection. Unique in uniting fast similarity search, AR/ARIMA forecasting, and nonlinear fractal methods with intuition and practical case studies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3680
Venue
SIGMOD
Year
2004
Pagerank
5.093636e-05
Overall Rank
12,778 | 12.34%
DOI
10.1145/1007568.1007728

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BibTeX Citation

@inproceedings{faloutsos_sigmod04,
        title = {{Indexing and Mining Streams}},
        author = {Faloutsos, Christos},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007728},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007728},
        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
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0020210012
56 M-tree: An Efficient Access Method for Similarity Search in Metric Spaces 1997 VLDB 0.00040719947
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