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: 3619
Venue: SIGMOD
Year: 2004
Pagerank: 4.1905499e-05
Overall Rank: 12,594 | 12.48%
DOI: -

Incoming Non-self Citations Over Time

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Authors

1. Christos Faloutsos

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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	0.0032118946
91	M-tree: An Efficient Access Method for Similarity Search in Metric Spaces	1997	VLDB	0.00051785122

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