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Rhonda Baldwin
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- affiliation: Datometry
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2010 – 2019
- 2016
- [c7]Lyublena Antova, Rhonda Baldwin, Derrick Bryant, Tuan Cao, Michael Duller, John Eshleman, Zhongxian Gu, Entong Shen, Mohamed A. Soliman, F. Michael Waas:
Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics. SIGMOD Conference 2016: 1405-1416 - 2015
- [c6]Lyublena Antova, Rhonda Baldwin, Zhongxian Gu, F. Michael Waas:
An Integrated Architecture for Real-Time and Historical Analytics in Financial Services. BIRTE (Revised Selected Papers) 2015: 35-44 - 2014
- [c5]Mohamed A. Soliman, Lyublena Antova, Venkatesh Raghavan, Amr El-Helw, Zhongxian Gu, Entong Shen, George C. Caragea, Carlos Garcia-Alvarado, Foyzur Rahman, Michalis Petropoulos, Florian Waas, Sivaramakrishnan Narayanan, Konstantinos Krikellas, Rhonda Baldwin:
Orca: a modular query optimizer architecture for big data. SIGMOD Conference 2014: 337-348 - 2010
- [j2]Rhonda Chaytor, Ke Wang:
Small Domain Randomization: Same Privacy, More Utility. Proc. VLDB Endow. 3(1): 608-618 (2010)
2000 – 2009
- 2009
- [j1]Patricia A. Evans, Todd Wareham, Rhonda Chaytor:
Fixed-parameter tractability of anonymizing data by suppressing entries. J. Comb. Optim. 18(4): 362-375 (2009) - [c4]Rhonda Chaytor, Ke Wang, Patricia L. Brantingham:
Fine-Grain Perturbation for Privacy Preserving Data Publishing. ICDM 2009: 740-745 - 2008
- [c3]Rhonda Chaytor, Patricia A. Evans, Todd Wareham:
Fixed-Parameter Tractability of Anonymizing Data by Suppressing Entries. COCOA 2008: 23-31 - 2007
- [c2]Rhonda Chaytor:
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework. PinKDD 2007: 33-55 - 2006
- [c1]Matthew Hamilton, Rhonda Chaytor, Todd Wareham:
The Parameterized Complexity of Enumerating Frequent Itemsets. IWPEC 2006: 227-238
Coauthor Index
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