DATA - Data Analysis Theory and Applications Laboratory

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• 2017-01-25
  18:19
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• 2017-01-16
  15:39
  I. Klonatos, C. Koch (Dir.). Building Efficient Query Engines using High-Level Languages. Thèse EPFL, n° 7508 (2017)

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• 2016-12-16
  17:24
  A. Shaikhha, I. Klonatos and C. Koch. Building Efficient Query Engines in a High-Level Language, 2016.

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• 2016-10-31
  15:13
  A. Vitorović, C. Koch (Dir.). Squall: Scalable Real-time Analytics using Efficient, Skew-resilient Join Operators. Thèse EPFL, n° 7290 (2016)

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• 2016-10-24
  12:36
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• 2016-08-17
  15:38
  M. Nikolic, C. Koch (Dir.). Efficient Incremental Data Analysis. Thèse EPFL, n° 7183 (2016)

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• 2016-07-15
  00:03
  C. Koch, D. Lupei and V. Tannen. Incremental View Maintenance for Collection Programming. 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, San Francisco, California, USA, June 26th-July 1st, 2016.

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• 2016-07-14
  17:26
  S. Roy, L. Kot, G. Bender, B. Ding and H. Hojjat et al. The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis. SIGMOD 2015, Melbourne, Victoria, Australia, 31 05 - 04 06 2015.

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• 2016-07-14
  17:12
  A. Vitorovic, M. El Seidy, K. M. O. Guliyev, M. K. Vu and D. Espino Timón et al. Squall: Scalable Real-time Analytics. 42nd International Conference on Very Large Data Bases, New Delhi, India, September 5-9, 2016.

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• 2016-07-14
  16:19
  I. Trummer and C. Koch. Multi-Objective Parametric Query Optimization, in ACM SIGMOD Record, vol. 45, num. 1, p. 24-31, 2016.

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