The Case for Predictive Database Systems: Opportunities and Challenges
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Eli Upfal | Stanley B. Zdonik | Ugur Çetintemel | Matteo Riondato | Mert Akdere | E. Upfal | U. Çetintemel | S. Zdonik | M. Akdere | Matteo Riondato
[1] Steven C. Wheelwright,et al. Forecasting methods and applications. , 1979 .
[2] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[3] Steven C. Wheelwright,et al. Forecasting: Methods and Applications, 3rd Edition , 1998 .
[4] Michael Mitzenmacher,et al. Probability And Computing , 2005 .
[5] Eli Upfal,et al. Probability and Computing: Randomized Algorithms and Probabilistic Analysis , 2005 .
[6] Rob J Hyndman,et al. 25 Years of Iif Time Series Forecasting: A Selective Review , 2005 .
[7] Jeffrey S. Chase,et al. Active and accelerated learning of cost models for optimizing scientific applications , 2006, VLDB.
[8] Samuel Madden,et al. MauveDB: supporting model-based user views in database systems , 2006, SIGMOD Conference.
[9] Raghu Ramakrishnan,et al. Optimizing mpf queries: decision support and probabilistic inference , 2007, SIGMOD '07.
[10] Shivnath Babu,et al. Processing Forecasting Queries , 2007, VLDB.
[11] Ugur Çetintemel,et al. Declarative temporal data models for sensor-driven query processing , 2007, DMSN '07.
[12] Kamesh Munagala,et al. Modeling and exploiting query interactions in database systems , 2008, CIKM '08.
[13] Jennie Duggan,et al. Simultaneous Equation Systems for Query Processing on Continuous-Time Data Streams , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[14] Chris Jermaine,et al. Materialized Sample Views for Database Approximation , 2008, IEEE Transactions on Knowledge and Data Engineering.
[15] Stanley B. Zdonik,et al. A skip-list approach for efficiently processing forecasting queries , 2008, Proc. VLDB Endow..
[16] Peter J. Haas,et al. MCDB: a monte carlo approach to managing uncertain data , 2008, SIGMOD Conference.
[17] Herodotos Herodotou,et al. Automated Experiment-Driven Management of (Database) Systems , 2009, HotOS.
[18] Archana Ganapathi,et al. Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[19] Eli Upfal,et al. Database-support for continuous prediction queries over streaming data , 2010, Proc. VLDB Endow..
[20] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.