List of Publications 

Refereed Publications

2008-2012

• B. Aghabeigi, T. Calvert, M. Seif El-Nasr, and M. Riedewald. Assistive Design and Production in Computer Games: Parametric Systems, Data Mining, Visual Analytic. To appear in Proc. IEEE Int. Games Innovation Conference, 2012
• A. Hannak, E. Anderson, L. Barrett, S. Lehman, A. Mislove, and M. Riedewald. Tweetin' in the Rain: Exploring Societal-Scale Effects of Weather on Mood. To appear in Proc. Int. AAAI Conf. on Weblogs and Social Media (ICWSM), 2012
• A. Okcan and M. Riedewald. Processing Theta-Joins using MapReduce. In Proc. ACM SIGMOD Int. Conf. on Managament of Data, pages 949-960, 2011
• B. Chandramouli, J. Goldstein, R. Barga, M. Riedewald, and I. Santos. Accurate Latency Estimation in a Distributed Event Processing System. In Proc. IEEE Int. Conf. on Data Engineering (ICDE), pages 255-266, 2011
• D. Fink, W. M. Hochachka, B. Zuckerberg, D. W. Winkler, B. Shaby, M. A. Munson, G. Hooker, M. Riedewald, D. Sheldon, and S. Kelling. Spatiotemporal Exploratory Models for Broad-Scale Survey Data. Ecological Applications, 20(8):2131-2147, 2010
• B. Panda, M. Riedewald, and D. Fink. The Model Summary Problem and a Solution for Trees. In Proc. IEEE Int. Conf. on Data Engineering (ICDE), pages 449-460, 2010
• 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
• D. Sorokina , R. Caruana, M. Riedewald, W. M. Hochachka, and S. Kelling. Detecting and Interpreting Variable Interactions in Observational Ornithology Data. In Proc. IEEE Int. Workshop on Domain Driven Data Mining (DDDM), 2009
• 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
• A. Lachmann and M. Riedewald. Finding Relevant Patterns in Bursty Sequences. In Proc. of the VLDB Endowment (PVLDB), 1(1):78-89, 2008
• 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 (demo)
• 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
• 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

• 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)
• 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
• 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
• 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
• 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. In Proc. ACM SIGMOD Int. Conf. on Managament of Data, pages 1100-1102, 2007 (demo)
• 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
• 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

• 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
• 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
• 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)
• 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
• 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
• 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

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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

• 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
• 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
• 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
• 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
• 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
• 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

• 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
• S. Geffner, M. Riedewald, D. Agrawal, A. El Abbadi. Data Cubes in Dynamic Environments. Data Engineering Bulletin, 22(4):31-40, 1999
• M. Riedewald. Replication Strategies for Distributed Systems with Availability Goals. Diploma Thesis, Saarland University, Saarbrücken, 1998 (in German)