Foresight: Recommending visual insights
- Cagatay Demiralp
- Peter J. Haas
- et al.
- 2017
- VLDB 2017
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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92 results for Peter J. Haas
Compressed linear algebra for largescale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2016
- VLDB 2016
Detecting attribute dependencies from query feedback
- Peter J. Haas
- Fabian Hueske
- et al.
- 2007
- VLDB 2007
GORDIAN: Efficient and Scalable Discovery of Composite Keys
- Yannis Sismanis
- Paul Brown
- et al.
- 2006
- VLDB 2006
A dip in the reservoir: Maintaining sample synopses of evolving datasets
- Rainer Gemulla
- Wolfgang Lehner
- et al.
- 2006
- VLDB 2006
Consistently estimating the selectivity of conjuncts of predicates
- V. Markl
- Nimrod Megiddo
- et al.
- 2005
- VLDB 2005
Statistical learning techniques for costing XML queries
- Ning Zhang
- Peter J. Haas
- et al.
- 2005
- VLDB 2005
Bhunt: Automatic discovery of fuzzy algebraic constraints in relational data
- Paul G. Brown
- Peter J. Haas
- 2003
- VLDB 2003
Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2
- Byung-Kwon Choi
- Tajhal Dayaram
- et al.
- 2018
- PNAS
Data is dead... Without what-if models
- Peter J. Haas
- Paul P. Maglio
- et al.
- 2011
- VLDB