Year |
Citation |
Score |
2020 |
Tziavelis N, Ajwani D, Gatterbauer W, Riedewald M, Yang X. Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries. Proceedings of the Vldb Endowment. International Conference On Very Large Data Bases. 13: 1582-1597. PMID 33717631 DOI: 10.14778/3397230.3397250 |
0.334 |
|
2019 |
Li R, Mi N, Riedewald M, Sun Y, Yao Y. Abstract Cost Models for Distributed Data-Intensive Computations. Distributed and Parallel Databases. 37: 411-439. PMID 31889741 DOI: 10.1007/S10619-018-7244-2 |
0.405 |
|
2016 |
Qarabaqi B, Riedewald M. Merlin: Exploratory Analysis with Imprecise Queries Ieee Transactions On Knowledge and Data Engineering. 28: 342-355. DOI: 10.1109/Tkde.2015.2496270 |
0.377 |
|
2014 |
Okcan A, Riedewald M. Anti-combining for MapReduce Proceedings of the Acm Sigmod International Conference On Management of Data. 839-850. DOI: 10.1145/2588555.2610499 |
0.575 |
|
2014 |
Manolios P, Papavasileiou V, Riedewald M. ILP Modulo Data 2014 Formal Methods in Computer-Aided Design, Fmcad 2014. 171-178. DOI: 10.1109/FMCAD.2014.6987610 |
0.303 |
|
2014 |
Koutrika G, Lakshmanan LVS, Stefanidis K, Riedewald M. Report on the first international workshop on exploratory search in databases and the web (ExploreDB 2014) Sigmod Record. 43: 49-52. |
0.358 |
|
2013 |
Okcan A, Riedewald M, Panday B, Fink D. Scolopax: Exploratory analysis of scientific data Proceedings of the Vldb Endowment. 6: 1298-1301. |
0.622 |
|
2011 |
Okcan A, Riedewald M. Processing theta-joins using MapReduce Proceedings of the Acm Sigmod International Conference On Management of Data. 949-960. DOI: 10.1145/1989323.1989423 |
0.609 |
|
2010 |
Fink D, Hochachka WM, Zuckerberg B, Winkler DW, Shaby B, Munson MA, Hooker G, Riedewald M, Sheldon D, Kelling S. Spatiotemporal exploratory models for broad-scale survey data. Ecological Applications : a Publication of the Ecological Society of America. 20: 2131-47. PMID 21265447 DOI: 10.1890/09-1340.1 |
0.321 |
|
2009 |
Kelling S, Hochachka WM, Fink D, Riedewald M, Caruana R, Ballard G, Hooker G. Data-intensive science: A new paradigm for biodiversity studies Bioscience. 59: 613-620. DOI: 10.1525/Bio.2009.59.7.12 |
0.443 |
|
2009 |
Sorokina D, Caruana R, Riedewald M, Hochachka WM, Kelling S. Detecting and interpreting variable interactions in observational ornithology data Icdm Workshops 2009 - Ieee International Conference On Data Mining. 64-69. DOI: 10.1109/ICDMW.2009.84 |
0.33 |
|
2009 |
Kelling S, Fink D, Hochachka WM, Iliff MJ, Sullivan BL, Wood CL, Munson A, Riedewald M. Obtaining New Insights for Biodiversity Conservation from Broad-Scale Citizen Science Data Nature Precedings. 4: 1-1. DOI: 10.1038/Npre.2009.3967.1 |
0.41 |
|
2007 |
Hochachka WM, Caruana R, Fink D, Munson A, Riedewald M, Sorokina D, Kelling S. Data-mining discovery of pattern and process in ecological systems Journal of Wildlife Management. 71: 2427-2437. DOI: 10.2193/2006-503 |
0.459 |
|
2005 |
Das A, Gehrke J, Riedewald M. Semantic approximation of data stream joins Ieee Transactions On Knowledge and Data Engineering. 17: 44-59. DOI: 10.1109/Tkde.2005.17 |
0.481 |
|
2003 |
Li HG, Agrawal D, El Abbadi A, Riedewald M. Exploiting the multi-append-only-trend property of historical data in data warehouses Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2750: 179-198. |
0.36 |
|
2003 |
Das A, Gehrke J, Riedewald M. Approximate Join Processing over Data Streams Proceedings of the Acm Sigmod International Conference On Management of Data. 40-51. |
0.382 |
|
2003 |
Riedewald M, Agrawal D, El Abbadi A, Korn F. Accessing scientific data: Simpler is better Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2750: 214-232. |
0.315 |
|
2002 |
Riedewald M, Agrawal D, El Abbadi A. Efficient integration and aggregation of historical information Proceedings of the Acm Sigmod International Conference On Management of Data. 13-24. |
0.376 |
|
2001 |
Riedewald M, Agrawal D, Abbadi AE. Flexible data cubes for online aggregation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1973: 159-173. |
0.665 |
|
2001 |
Stanoi I, Riedewald M, Agrawal D, El Abbadi A. Discovery of influence sets in frequently updated databases Vldb 2001 - Proceedings of 27th International Conference On Very Large Data Bases. 99-108. |
0.317 |
|
2000 |
Riedewald M, Agrawal D, El Abbadi A, Pajarola R. Space-efficient data cubes for dynamic environments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1874: 24-33. |
0.375 |
|
2000 |
Riedewald M, Agrawal D, Abbadi AE. pCube: Update-efficient online aggregation with progressive feedback and error bounds Proceedings of the International Conference On Scientific and Statistical Database Management, Ssdbm. 95-108. |
0.661 |
|
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