Academic literature on the topic 'Factorized Databases'

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Journal articles on the topic "Factorized Databases"

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Olteanu, Dan, and Maximilian Schleich. "Factorized Databases." ACM SIGMOD Record 45, no. 2 (2016): 5–16. http://dx.doi.org/10.1145/3003665.3003667.

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Olteanu, Dan. "Report on the Workshop on Factorized Databases." ACM SIGMOD Record 52, no. 2 (2023): 53–56. http://dx.doi.org/10.1145/3615952.3615967.

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The workshop took place in Zurich and online from August 2 to 4, 2022. It was attended by researchers from 17 academic institutions and industry labs, including Microsoft Gray Systems Lab, Omics Data Automation, Oracle Labs Zurich, RelationalAI, and TigerGraph. It featured 18 talks and plenty of opportunities for discussions. The vast majority of participants attended in person.
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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.

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This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of finite mixture models, conjugate families and factorization. Both the joint probability density of the variables and the likelihood function of the (objective or subjective) observation are approximated by a special mixture model, in such a way that any desired conditional distribution can be directly obtained without numerical integration. We have developed an extended version of the expectation maximization (EM) algorit
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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 (2023): 3071–84. http://dx.doi.org/10.14778/3611479.3611509.

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Although dominant for tabular data, ML libraries that train tree models over normalized databases (e.g., LightGBM, XGBoost) require the data to be denormalized as a single table, materialized, and exported. This process is not scalable, slow, and poses security risks. In-DB ML aims to train models within DBMSes to avoid data movement and provide data governance. Rather than modify a DBMS to support In-DB ML, is it possible to offer competitive tree training performance to specialized ML libraries...with only SQL? We present JoinBoost, a Python library that rewrites tree training algorithms ove
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Bakibayev, Nurzhan, Tomáš Kočiský, Dan Olteanu, and Jakub Závodný. "Aggregation and ordering in factorised databases." Proceedings of the VLDB Endowment 6, no. 14 (2013): 1990–2001. http://dx.doi.org/10.14778/2556549.2556579.

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Bakibayev, Nurzhan, Dan Olteanu, and Jakub Závodný. "Demonstration of the FDB query engine for factorised databases." Proceedings of the VLDB Endowment 5, no. 12 (2012): 1950–53. http://dx.doi.org/10.14778/2367502.2367545.

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Hutchinson, Harry. "Smarter Factories." Mechanical Engineering 123, no. 03 (2001): 60–62. http://dx.doi.org/10.1115/1.2001-mar-2.

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This article highlights about getting more out of information technology, from online services to digital databases, in order to make plants more flexible, to improve product development, or to let people at far-flung sites cooperate more closely. There are industry-led groups namely the Consortium for Advanced Manufacturing-International, which has an office in Bedford, TX, and Intelligent Manufacturing Systems, headquartered in Tokyo. These organizations address concerns ranging from budgeting to the best practices for designing a plant floor. The Consortium for Advanced Manufacturing and In
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Beck, Thomas J. "China and the Modern World, Imperial China and the West, Part I, 1815‐1881." Charleston Advisor 24, no. 4 (2023): 16–19. http://dx.doi.org/10.5260/chara.24.4.16.

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China and the Modern World, Imperial China and the West, one of several Gale Primary Sources databases, consists of two parts and this database is the first, covering 1815‐1881. The documents are drawn from the FO 17 and FO 605 series of British Foreign Office files held at the UK National Archives. The database contains correspondence relating to China from missionaries, interpreters, the factories of Canton (modern Guangzhou), interpreters, envoys, legations, consulates, and missions sent to China from Britain. Included are materials on war, diplomacy, international law, rebellions, trade, p
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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 (2000): 309–14. http://dx.doi.org/10.1016/s1474-6670(17)40929-3.

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Reining, Nine, and Simone Kauffeld. "Empirical Findings on Learning Success and Competence Development at Learning Factories: A Scoping Review." Education Sciences 12, no. 11 (2022): 769. http://dx.doi.org/10.3390/educsci12110769.

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To meet the changing competence requirements for employees in engineering professions, education and training need to adapt accordingly. Learning factories offer various possibilities to design or integrate practice-oriented learning into training measures. Whether this approach in fact facilitates learning and competence development is rarely investigated. For this reason, the objective of this scoping review is to analyze and summarize the existing empirical findings on learning success and competence development in learning factories regarding their evaluation methods and results. Following
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Dissertations / Theses on the topic "Factorized Databases"

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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.

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L'optimisation mathématique et la gestion des données sont deux domaines majeurs de l'informatique qui sont largement étudiés par des communautés essentiellement distinctes.Cependant, les problèmes d'optimisation complexes dépendent souvent de grands jeux de données qui peuvent être difficiles à gérer,alors que la gestion de grandes quantités de données n'est utile que dans la mesure où l'on analyse ces données pour en extraire des connaissancesafin de résoudre un problème pratique, de sorte que ces domaines sont souvent entremêlés en pratique.Cette thèse se place à la croisée de ces deux doma
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Books on the topic "Factorized Databases"

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OROZCO, Jose AREVALO. Contacts 100 Suppliers Factories in China Certified Loading List of Suppliers for Importation: Contact Database of Businesses and Factories in China to Export at a Global Level. Lulu Press, Inc., 2020.

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Book chapters on the topic "Factorized Databases"

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Krompaß, Denis, Maximilian Nickel, and Volker Tresp. "Querying Factorized Probabilistic Triple Databases." In The Semantic Web – ISWC 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11915-1_8.

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Schilling, Nicolas, Martin Wistuba, Lucas Drumond, and Lars Schmidt-Thieme. "Hyperparameter Optimization with Factorized Multilayer Perceptrons." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23525-7_6.

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Rügamer, David, Andreas Bender, Simon Wiegrebe, et al. "Factorized Structured Regression for Large-Scale Varying Coefficient Models." In Machine Learning and Knowledge Discovery in Databases. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26419-1_2.

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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. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43421-1_22.

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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. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15939-8_1.

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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. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66917-5_4.

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Harding, Bruce A. "Database Exchange in the CAD/CAM/CIM Arena." In CAD/CAM Robotics and Factories of the Future ’90. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84338-9_7.

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Harding, Bruce A. "Database Exchange in the CAD/CAM/CIM Arena." In CAD/CAM Robotics and Factories of the Future ’90. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-85838-3_7.

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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. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84338-9_64.

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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. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-85838-3_64.

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Conference papers on the topic "Factorized Databases"

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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.

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Abstract Lean production, also known as the Toyota Production System, is a management model that is being actively taught in academia through active learning methodologies. One such methodology is the use of learning factories to teach Lean concepts. Many Higher Education Institutions are promoting and installing learning factories to teach lean concepts effectively. This paper’s objectives are to discuss lean learning factories (LFF): characterization; importance for managers and organizations; lessons learned; lean learning aspects and general outcomes for life-long learning. To achieve this
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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.

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The current period is evidence of the massive replacement of human strength by the results of the mental cognitive work of researchers. To cope with this situation, it is necessary to examine the impact of these technologies on the quality of life in the work and home environment when introducing new technologies. The main purpose of this work will be the collection of physiological functions such as heart rate in real-time from wearable sensors by creating an application that automatically collects sensor data. The work also proposes a mobile application that will be able to read the sensor d
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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.

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The wide spread use of 3D acquisition devices with high-performance processing tools has facilitated rapid generation of digital twin models for large production plants and factories for optimizing work cell layouts and improving human operator effectiveness, safety and ergonomics. Although recent advances in digital simulation tools have enabled users to analyze the workspace using virtual human and environment models, these tools are still highly dependent on user input to configure the simulation environment such as how humans are picking and moving different objects during manufacturing. A
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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.

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Abstract Random bin picking (RBP) has been a popular research topic due to the demand of industry 4.0, techniques like object detection, picking strategies and robot motion planning are more and more important. Much of the existing research uses the CAD model of the workpiece as the database. However, building CAD models is time-consuming and not all objects have CAD models. In this paper, a CAD-free random bin picking system is proposed to pick miscellaneous objects. By using Mask-RCNN instance segmentation, the object’s category and pickable area can be determined within a 2D image captured
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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.

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Digitization and cybersecurity are intertwined. The surge in digitization has made the cyber threat landscape complex and real, allowing cybercriminals to target nations' critical infrastructure, especially oil and gas. Recent high-profile incidents demonstrate the quickly evolving and intensifying threat landscape. Oil and gas producers must protect themselves from these stealthy adversaries, which necessitates a thorough understanding of the relationship between digitization, risk management, and cybersecurity. Academics and industry practitioners have been digitizing the oil and gas industr
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Reports on the topic "Factorized Databases"

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Hazarika, Darshana. Mudige Arun Kumar. World Wide Journals, 2023. http://dx.doi.org/10.36106/ijar/8406946.

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Any personal injury, sickness, or death caused by an employment accident is referred to as an occupational injury.These hazards can be categorized as physical (accidents and injuries),biological(diseases like inuenza, HIV, Anthrax etc.),psychological(stress, anxiety, depression) , chemical hazards (exposure to acids and pesticides), and environmental hazards(unsafe drinking water, inadequate sanitation, hazardous healthcare waste, etc).Occupational injuries are more widespread among workers in numerous sectors, factories, and health-care organizations and they constitute a critical worldwide
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