List of Publications
Refereed Publications
2008-2009
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B. Panda, M.
Riedewald, and D. Fink. The Model Summary Problem and a Solution for Trees. To
appear in Proc. IEEE Int. Conf. on Data
Engineering (ICDE), 2010
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S. Kelling,
W. M. Hochachka, D. Fink, M. Riedewald, R. Caruana, G. Ballard, and G. Hooker.
Data Intensive Science: A New
Paradigm for Biodiversity Studies. BioScience, 57(7):613-620, 2009
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D. Sorokina
, R. Caruana, M. Riedewald, W. M. Hochachka, and S. Kelling. Detecting and
Interpreting Variable Interactions in Observational Ornithology Data. To appear
in Proc. IEEE Int. Workshop on Domain Driven Data Mining (DDDM), 2009
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M. Hong, M.
Riedewald, C. Koch, J. Gehrke, and A. Demers.
Rule-Based Multi-Query
Optimization. In Proc. Int. Conf. on Extending Database Technology
(EDBT), pages 120-131, 2009
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A. Lachmann
and M. Riedewald.
Finding Relevant Patterns in Bursty Sequences.
In Proc. of the VLDB Endowment (PVLDB), 1(1):78-89, 2008
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F. Weigel, B. Panda, M. Riedewald, J. Gehrke, and M. Calimlim.
Large-Scale Collaborative Analysis and
Extraction of Web Data. In Proc. of the VLDB Endowment (PVLDB), 1(2):
1476-1479, 2008
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D. Sorokina,
R. Caruana, M. Riedewald, and D. Fink.
Detecting
Statistical Interactions with Additive Groves of Trees. In Proc.
International Conference on Machine Learning (ICML), pages 1000-1007, 2008
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A. Dolgert,
L. Gibbons, C. D. Jones, V. Kuznetsov, M. Riedewald, D. Riley, G. J. Sharp, and
P. Wittich.
Provenance in High-Energy Physics Workflows. In IEEE Computing in Science
and Engineering (CiSE), 10(3):22-29, 2008
2007
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D. Sorokina,
R. Caruana, and M. Riedewald:
Additive Groves of
Regression Trees. In Proc. European Conf. on Machine Learning (ECML),
pages 323-334, 2007 (Best Student Paper)
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B. Panda, M.
Riedewald, J. Gehrke, and S. B. Pope:
High-Speed Function
Approximation. In Proc. IEEE Int. Conf. on Data Mining (ICDM),
pages 613-618, 2007
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W. M. Hochachka, R. Caruana, D. Fink, A. Munson, M. Riedewald, D. Sorokina, and
S. Kelling.
Data-Mining Discovery of Pattern and Process in Ecological Systems. In
Journal of Wildlife Management, 71(7):2427--2437, 2007
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M. Hong, A.
Demers, J. Gehrke, C. Koch, M. Riedewald, and W. White.
Massively Multi-Query
Join Processing in Publish/Subscribe Systems. In Proc. ACM SIGMOD Int. Conf. on Managament of Data,
pages 761-772, 2007
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L. Brenna,
A. Demers, J. Gehrke, M. Hong, J. Ossher, B. Panda, M. Riedewald, M. Thatte, and
W. White. Cayuga: A High-Performance Event Processing Engine
(Demo Paper). In Proc. ACM SIGMOD Int. Conf. on Managament of Data,
pages 1100-1102, 2007
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W. White, M.
Riedewald, J. Gehrke and A. Demers.
What is "Next" in Event Processing?
In Proc. ACM Symp. on Principles of Database Systems (PODS), pages
263-272, 2007
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A. Demers,
J. Gehrke, B. Panda, M. Riedewald, V. Sharma, and W. White.
Cayuga: A General
Purpose Event Monitoring System. In Proc. Biennial Conf. on Innovative
Data Systems Research (CIDR), pages 411-422, 2007
2006
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B. Panda,
M. Riedewald, S. B. Pope, J. Gehrke, L. P. Chew.
Indexing for Function
Approximation. In Proc. Int. Conf. on Very Large Databases (VLDB),
pages 523-534, 2006
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R. Caruana, M. Elhawary, A. Munson, M. Riedewald, D. Sorokina, D. Fink, W. M.
Hochachka, S. Kelling:
Mining Citizen
Science Data to Predict Prevalence of Wild Bird Species. In Proc. ACM
SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pages 909-915,
2006
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N Gerner, F.
Yan, A. Demers, J. Gehrke, M. Riedewald, and J. Shanmugasundaram.
Automatic
Client-Server Partitioning of Data-Driven Web Applications. In Proc. ACM SIGMOD Int. Conf. on Management
of Data, pages 760-762, 2006 (demo)
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A. Demers,
J. Gehrke, M. Hong, M. Riedewald, and W. White.
Towards Expressive
Publish/Subscribe Systems. In Proc. Int. Conf. on Extending
Database Technology (EDBT), pages 627-644, 2006
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W. Y. Arms,
S. Aya, M. Calimlim, J. Cordes, J. Deneva, P. Dmitriev, J. Gehrke, L. Gibbons,
C. D. Jones, V. Kuznetsov, D. Lifka, M. Riedewald, D. Riley, A. Ryd, and G. J.
Sharp. Three Case
Studies of Large-Scale Data Flows. In Proc. IEEE Workshop on Workflow and
Data Flow for Scientific Applications (SciFlow). 2006
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F. Yang, J. Shanmugasundaram, M. Riedewald, J.
Gehrke, and A.
Demers, Hilda: A High-Level Language
for Data-Driven Web Applications. In Proc. IEEE Int. Conf. on Data
Engineering (ICDE), 2006
2003-2005
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A. Das, J. Gehrke, M. Riedewald. Semantic Approximation of Data Stream Joins. In IEEE Transactions on Knowledge and Data Engineering,
17(1):44-59, 2005
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A. Demers, J. Gehrke, M. Hong, and M. Riedewald. Processing High-Speed
Intelligence Feeds in Real-Time. In Proc. IEEE Int. Conf. on Intelligence and
Security Informatics (ISI), pages 617-618, 2005
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M. Riedewald, D. Agrawal, A. El Abbadi. Dynamic Multidimensional Data Cubes for
Interactive Analysis of Massive Datasets. In M. Khosrow-Pour, editor,
Encyclopedia of Information Science and Technology. Idea Group Publishing,
2005
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A. Das, J. Gehrke, and M. Riedewald. Approximation
Techniques for Spatial Data. In Proc. ACM SIGMOD Int. Conf. on Management
of Data, pages 695-706, 2004
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A. Demers, J. Gehrke, M. Riedewald. Research Issues in Mining and Monitoring of
Intelligence Data. To appear in H. Kargupta, A. Joshi, K. Sivakumar, and Y.
Yesha, editors, Data Mining: Next Generation Challenges and Future Directions.
MIT/AAAI Press, 2004
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A. Demers, J. Gehrke, M. Riedewald. The Architecture of the Cornell Knowledge
Broker. In Proc. Second Symposium on Intelligence and Security Informatics
(ISI-2004), 2004
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A. Das, J. Gehrke, M. Riedewald. Approximate Join Processing over Data
Streams.
In Proc. ACM SIGMOD Int. Conf. on Managament of Data, pages 40-51, 2003
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M. Riedewald, D. Agrawal, A. El Abbadi, F. Korn.
Accessing
Scientific Data: Simpler is Better. In Proc. Int. Symp. on Spatial and
Temporal Databases, pages 214-232, 2003
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H.-G. Li, D. Agrawal, A. El Abbadi, M. Riedewald.
Exploiting the
Multi-Append-Only-Trend Property of Historical Data in Data Warehouses. In Proc.
Int. Symp. on Spatial and Temporal Databases, pages 179-198, 2003
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M. Riedewald, D. Agrawal, A. El Abbadi. Dynamic Multidimensional Data Cubes.
In M. Rafanelli, editor, Multidimensional Databases: Problems and Solutions.
Idea Group Publishing, 2003
2000-2002
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M. Riedewald, D. Agrawal, A. El Abbadi.
Efficient Integration and Aggregation of Historical Information.
In Proc. ACM SIGMOD Int. Conf. on Management of Data, pages 13-24, 2002
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I. Stanoi, M. Riedewald, D. Agrawal, A. El Abbadi.
Discovery of Influence Sets in Frequently
Updated Databases. In Proc. Int. Conf. on Very Large Databases (VLDB),
pages 99-108, 2001
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M. Riedewald, D. Agrawal, A. El Abbadi. Managing and Analyzing Massive
Data Sets with Data Cubes. In J. Abello, P. M. Pardalos, and M. G. C. Resende,
editors, Handbook of Massive Data Sets. Kluwer Academic Publishers, 2001
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M. Riedewald, D. Agrawal, A. El Abbadi. Flexible
Data Cubes for Online Aggregation. In Proc. Int. Conf. on Database
Theory (ICDT), pages 159-173, 2001
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M. Riedewald, D. Agrawal, A. El Abbadi, and R. Pajarola.
Space-Efficient
Data Cubes for Dynamic Environments. In Proc. Int. Conf. on Data
Warehousing and Knowledge Discovery (DaWaK), pages 24-33, 2000
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M. Riedewald, D. Agrawal, and A. El Abbadi. pCube:
Update-Efficient Online Aggregation with Progressive Feedback and Error
Bounds. In Proc. Int. Conf. on Scientific and Statistical Database
Management (SSDBM), pages 95-108, 2000
Other Publications
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M. Calimlim, J. Cordes, A. Demers, J. Deneva, J. Gehrke, D. Kifer, M. Riedewald,
and J. Shanmugasundaram.
A Vision for
PetaByte Data Management and Analysis Services for the Arecibo Telescope.
Bulletin of the Technical Committee on Data Engineering, IEEE Computer
Society, 27(4), 2004
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S. Geffner, M. Riedewald, D. Agrawal, A. El Abbadi. Data
Cubes in Dynamic Environments. Data Engineering Bulletin, 22(4):31-40,
1999
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M. Riedewald. Replication Strategies for Distributed Systems with Availability
Goals. Diploma Thesis, Saarland University, Saarbrücken, 1998 (in
German)