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Data Models (H.2.1)
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Reviews in category "
Data Models (H.2.1)"
Date Reviewed
Bayesian synthesis of probabilistic programs for automatic data modeling
Saad F., Cusumano-Towner M., Schaechtle U., Rinard M., Mansinghka V. Proceedings of the ACM on Programming Languages 3(POPL): 1-32, 2019. Type: Article
Jun 3 2020
Reproducibility in scientific computing
Ivie P., Thain D. ACM Computing Surveys 51(3): 1-36, 2018. Type: Article
Nov 19 2019
Multi-disciplinary engineering for cyber-physical production systems: data models and software solutions for handling complex engineering projects
Biffl S., Lüder A., Gerhard D., Springer International Publishing, New York, NY, 2017. 472 pp. Type: Book (978-3-319563-44-2)
May 4 2018
Analyzing sentiments in one go: a supervised joint topic modeling approach
Hai Z., Cong G., Chang K., Cheng P., Miao C. IEEE Transactions on Knowledge and Data Engineering 29(6): 1172-1185, 2017. Type: Article
Jan 17 2018
A scalable data chunk similarity based compression approach for efficient big sensing data processing on cloud
Yang C., Chen J. IEEE Transactions on Knowledge and Data Engineering 29(6): 1144-1157, 2017. Type: Article
Jul 25 2017
Types from data: making structured data first-class citizens in F#
Petricek T., Guerra G., Syme D. PLDI 2016 (Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation, Santa Barbara, CA, Jun 13-17, 2016) 477-490, 2016. Type: Proceedings
Jul 13 2017
Information-theoretic caching: sequential coding for computing
Wang C., Lim S., Gastpar M. IEEE Transactions on Information Theory 62(11): 6393-6406, 2016. Type: Article
Jun 21 2017
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