MAIDS: Mining Alarming Incidents from Data Streams

Summary: MAIDS enables alarming-incident mining on data streams with tilted time windows for multi-resolution modeling and a stream data cube for online multi-dimensional analysis. Online classification, frequent-pattern mining, clustering, and visualization for instant anomaly detection. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h663a2e878689c75b
Venue: SIGMOD
Year: 2004
Pagerank: 5.1758119e-05
Overall Rank: 9,445 | 36.50%
DOI: 10.1145/1007568.1007695

Incoming Non-self Citations Over Time

Authors

1. Y. Dora Cai (University of Illinois Urbana-Champaign)
2. David Clutter (University of Illinois Urbana-Champaign)
3. Greg Pape (University of Illinois Urbana-Champaign)
4. Jiawei Han (University of Illinois Urbana-Champaign)
5. Michael Welge (University of Illinois Urbana-Champaign)
6. Loretta Auvil (University of Illinois Urbana-Champaign)

BibTeX Citation

@inproceedings{cai_sigmod04,
        title = {{MAIDS: Mining Alarming Incidents from Data Streams}},
        author = {Cai, Y. Dora and Clutter, David and Pape, Greg and Han, Jiawei and Welge, Michael and Auvil, Loretta},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007695},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007695},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,530	Effective Variation Management for Pseudo Periodical Streams	2007	SIGMOD	5.5009752e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
26	Models and Issues in Data Stream Systems	2002	PODS	0.00052121228
32	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00049737458
164	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027412227
363	CURE: An Efficient Clustering Algorithm for Large Databases	1998	SIGMOD	0.00019987463
928	A Framework for Clustering Evolving Data Streams	2003	VLDB	0.00013025824
1,874	Efficient Computation of Iceberg Cubes with Complex Measures	2001	SIGMOD	9.4579757e-05
2,208	Multi-Dimensional Regression Analysis of Time-Series Data Streams	2002	VLDB	8.8382452e-05

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