Добірка наукової літератури з теми "Factorized Databases"
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Статті в журналах з теми "Factorized Databases":
Olteanu, Dan, and Maximilian Schleich. "Factorized Databases." ACM SIGMOD Record 45, no. 2 (September 28, 2016): 5–16. http://dx.doi.org/10.1145/3003665.3003667.
Olteanu, Dan. "Report on the Workshop on Factorized Databases." ACM SIGMOD Record 52, no. 2 (August 10, 2023): 53–56. http://dx.doi.org/10.1145/3615952.3615967.
Ruiz, A., P. E. Lopez-de-Teruel, and M. C. Garrido. "Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians." Journal of Artificial Intelligence Research 9 (October 1, 1998): 167–217. http://dx.doi.org/10.1613/jair.533.
Huang, Zezhou, Rathijit Sen, Jiaxiang Liu, and Eugene Wu. "JoinBoost: Grow Trees over Normalized Data Using Only SQL." Proceedings of the VLDB Endowment 16, no. 11 (July 2023): 3071–84. http://dx.doi.org/10.14778/3611479.3611509.
Bakibayev, Nurzhan, Tomáš Kočiský, Dan Olteanu, and Jakub Závodný. "Aggregation and ordering in factorised databases." Proceedings of the VLDB Endowment 6, no. 14 (September 2013): 1990–2001. http://dx.doi.org/10.14778/2556549.2556579.
Bakibayev, Nurzhan, Dan Olteanu, and Jakub Závodný. "Demonstration of the FDB query engine for factorised databases." Proceedings of the VLDB Endowment 5, no. 12 (August 2012): 1950–53. http://dx.doi.org/10.14778/2367502.2367545.
Hutchinson, Harry. "Smarter Factories." Mechanical Engineering 123, no. 03 (March 1, 2001): 60–62. http://dx.doi.org/10.1115/1.2001-mar-2.
Beck, Thomas J. "China and the Modern World, Imperial China and the West, Part I, 1815‐1881." Charleston Advisor 24, no. 4 (April 1, 2023): 16–19. http://dx.doi.org/10.5260/chara.24.4.16.
Hatou, Kenji, Toshinobu Takeuchi, and Yasushi Hashimoto. "Image Database for the Remote Control of Plant Factories in the Internet Age." IFAC Proceedings Volumes 33, no. 19 (July 2000): 309–14. http://dx.doi.org/10.1016/s1474-6670(17)40929-3.
Reining, Nine, and Simone Kauffeld. "Empirical Findings on Learning Success and Competence Development at Learning Factories: A Scoping Review." Education Sciences 12, no. 11 (October 29, 2022): 769. http://dx.doi.org/10.3390/educsci12110769.
Дисертації з теми "Factorized Databases":
Crosetti, Nicolas. "Enrichir et résoudre des programmes linéaires avec des requêtes conjonctives." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB003.
Mathematical optimization and data management are two major fields of computer science that are widely studied by mostly separate communities.However complex optimization problems often depend on large datasets that may be cumbersome to manage,while managing large amounts of data is only useful insofar as one analyzes this data to extract some knowledgein order to solve some practical problem, so these fields are often actually intertwined in practice.This thesis places itself at the crossroads between these two fields by studying linear programs that reason about the answers of database queries.The first contribution of this thesis is the definition of the so-called language of linear programs with conjunctive queries, or LP(CQ) for short.It is a language to model linear programs with constructs that allow one to express linear constraints and linear sumsthat reason over the answer sets of database queries in the form of conjunctive queries.We then describe the natural semantics of the languageby showing how such models can be interpreted, in conjunction with a database, into actual linear programsthat can then be solved by any standard linear program solver and discuss the hardness of solving LP(CQ) models.Motivated by the hardness of solving LP(CQ) models in general, we then introducea process based on the so-called T-factorized interpretation to solve such models more efficiently.This approach is based on classical techniques from database theoryto exploit the structure of the queries using hypertree decompositions of small width.The T-factorized interpretation yields a linear programthat has the same optimal value as the natural semantics of the model but fewer variableswhich can thus be used to solve the model more efficiently.The third contribution is a generalization of the previous result to the framework of factorized databases.We introduce a specific circuit data-structure to succintly encode relations.We the define the so-called C-factorized interpretation that leverages the succintness of these circuitsto yield a linear program that has the same optimal value as the natural semantics of the model but fewer variablessimilarly to the T-factorized interpretation.Finally we show that we can explicitly compile the answer sets of conjunctive queries with small fractional hypertreewidthinto succinct circuits, thus allowing us to recapture the T-factorized interpretation
Частини книг з теми "Factorized Databases":
Krompaß, Denis, Maximilian Nickel, and Volker Tresp. "Querying Factorized Probabilistic Triple Databases." In The Semantic Web – ISWC 2014, 114–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11915-1_8.
Schilling, Nicolas, Martin Wistuba, Lucas Drumond, and Lars Schmidt-Thieme. "Hyperparameter Optimization with Factorized Multilayer Perceptrons." In Machine Learning and Knowledge Discovery in Databases, 87–103. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23525-7_6.
Rügamer, David, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, and Clemens Stachl. "Factorized Structured Regression for Large-Scale Varying Coefficient Models." In Machine Learning and Knowledge Discovery in Databases, 20–35. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26419-1_2.
Li, Boyu, Ting Guo, Xingquan Zhu, Yang Wang, and Fang Chen. "ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation." In Machine Learning and Knowledge Discovery in Databases: Research Track, 369–86. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43421-1_22.
Pajarinen, Joni, Jaakko Peltonen, Ari Hottinen, and Mikko A. Uusitalo. "Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations." In Machine Learning and Knowledge Discovery in Databases, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15939-8_1.
Hoos, Eva, Pascal Hirmer, and Bernhard Mitschang. "Context-Aware Decision Information Packages: An Approach to Human-Centric Smart Factories." In Advances in Databases and Information Systems, 42–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66917-5_4.
Harding, Bruce A. "Database Exchange in the CAD/CAM/CIM Arena." In CAD/CAM Robotics and Factories of the Future ’90, 61–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84338-9_7.
Harding, Bruce A. "Database Exchange in the CAD/CAM/CIM Arena." In CAD/CAM Robotics and Factories of the Future ’90, 61–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-85838-3_7.
Lau, K. W. N., and M. Ramulu. "A Databased Time and Cost Estimation Algorithm for Piece Part Design and Manufacturing." In CAD/CAM Robotics and Factories of the Future ’90, 458–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84338-9_64.
Lau, K. W. N., and M. Ramulu. "A Databased Time and Cost Estimation Algorithm for Piece Part Design and Manufacturing." In CAD/CAM Robotics and Factories of the Future ’90, 458–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-85838-3_64.
Тези доповідей конференцій з теми "Factorized Databases":
Witeck, Gabriela R., and Anabela C. Alves. "Worldwide Lean Learning Factories." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112983.
Fodor, Kristian, and Zoltán Balogh. "Automation of the Collection and Processing of Physiological Functions from Wearable Sensors." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001473.
Arisoy, Erhan Batuhan, Guannan Ren, Erva Ulu, Nurcan Gecer Ulu, and Suraj Musuvathy. "A Data-Driven Approach to Predict Hand Positions for Two-Hand Grasps of Industrial Objects." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60095.
Lee, Chun-Tse, Cheng-Han Tsai, and Jen-Yuan (James) Chang. "A CAD-Free Random Bin Picking System for Fast Changeover on Multiple Objects." In ASME 2020 29th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/isps2020-1911.
Imran, Huma, Mohamed Salama, and Colin Turner. "Digitization, Cybersecurity and Risk Management in the Oil and Gas Sector in the post COVID world: A Systematic Review." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004253.
Звіти організацій з теми "Factorized Databases":
Hazarika, Darshana. Mudige Arun Kumar. World Wide Journals, February 2023. http://dx.doi.org/10.36106/ijar/8406946.