Статті в журналах з теми "Data engineering and data science"
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Klettke, Meike, and Uta Störl. "Four Generations in Data Engineering for Data Science." Datenbank-Spektrum 22, no. 1 (December 22, 2021): 59–66. http://dx.doi.org/10.1007/s13222-021-00399-3.
Повний текст джерелаKRIEGER, JAMES. "Data on academic science/engineering updated." Chemical & Engineering News 65, no. 1 (January 5, 1987): 18. http://dx.doi.org/10.1021/cen-v065n001.p018a.
Повний текст джерелаBertino, Elisa. "Introduction to Data Science and Engineering." Data Science and Engineering 1, no. 1 (February 25, 2016): 1–3. http://dx.doi.org/10.1007/s41019-016-0005-1.
Повний текст джерелаKulkarni, Nishant. "Olympic Data Analysis using Data Science." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 855–61. http://dx.doi.org/10.22214/ijraset.2022.48046.
Повний текст джерелаDuever, Thomas A. "Data Science in the Chemical Engineering Curriculum." Processes 7, no. 11 (November 8, 2019): 830. http://dx.doi.org/10.3390/pr7110830.
Повний текст джерелаAshraf, Chowdhury, Nisarg Joshi, David A. C. Beck, and Jim Pfaendtner. "Data Science in Chemical Engineering: Applications to Molecular Science." Annual Review of Chemical and Biomolecular Engineering 12, no. 1 (June 7, 2021): 15–37. http://dx.doi.org/10.1146/annurev-chembioeng-101220-102232.
Повний текст джерелаCressie, Noel. "Comment: When Is It Data Science and When Is It Data Engineering?" Journal of the American Statistical Association 115, no. 530 (April 2, 2020): 660–62. http://dx.doi.org/10.1080/01621459.2020.1762619.
Повний текст джерелаKroll, Joshua A. "Data Science Data Governance [AI Ethics]." IEEE Security & Privacy 16, no. 6 (November 2018): 61–70. http://dx.doi.org/10.1109/msec.2018.2875329.
Повний текст джерелаHering, Janet G. "From Slide Rule to Big Data: How Data Science is Changing Water Science and Engineering." Journal of Environmental Engineering 145, no. 8 (August 2019): 02519001. http://dx.doi.org/10.1061/(asce)ee.1943-7870.0001578.
Повний текст джерелаGibert, Karina, Jeffery S. Horsburgh, Ioannis N. Athanasiadis, and Geoff Holmes. "Environmental Data Science." Environmental Modelling & Software 106 (August 2018): 4–12. http://dx.doi.org/10.1016/j.envsoft.2018.04.005.
Повний текст джерелаGao, Hanyu, Li-Tao Zhu, Zheng-Hong Luo, Marco A. Fraga, and I.-Ming Hsing. "Machine Learning and Data Science in Chemical Engineering." Industrial & Engineering Chemistry Research 61, no. 24 (June 22, 2022): 8357–58. http://dx.doi.org/10.1021/acs.iecr.2c01788.
Повний текст джерелаGupta, Suraj, Diana Aga, Amy Pruden, Liqing Zhang, and Peter Vikesland. "Data Analytics for Environmental Science and Engineering Research." Environmental Science & Technology 55, no. 16 (August 2, 2021): 10895–907. http://dx.doi.org/10.1021/acs.est.1c01026.
Повний текст джерелаRocha, Prof Carlos Alberto Martins da, and Prof Dr Luis Borges Gouveia. "Information Engineering: Strategic decision based on data science." International Journal of Advanced Engineering Research and Science 8, no. 6 (2021): 203–12. http://dx.doi.org/10.22161/ijaers.86.23.
Повний текст джерелаHagedorn, Christina, Tanner Sorensen, Adam Lammert, Asterios Toutios, Louis Goldstein, Dani Byrd, and Shrikanth Narayanan. "Engineering Innovation in Speech Science: Data and Technologies." Perspectives of the ASHA Special Interest Groups 4, no. 2 (April 15, 2019): 411–20. http://dx.doi.org/10.1044/2018_pers-sig19-2018-0003.
Повний текст джерелаSimmhan, Yogesh, Lavanya Ramakrishnan, Gabriel Antoniu, and Carole Goble. "Cloud computing for data-driven science and engineering." Concurrency and Computation: Practice and Experience 28, no. 4 (November 10, 2015): 947–49. http://dx.doi.org/10.1002/cpe.3668.
Повний текст джерелаKoribalski, Bärbel S. "Open Astronomy and Big Data Science." Proceedings of the International Astronomical Union 15, S367 (December 2019): 227–30. http://dx.doi.org/10.1017/s1743921321000879.
Повний текст джерелаSchenkel, Ralf, Stefanie Scherzinger, and Marina Tropmann-Frick. "„Data Engineering“ in der Hochschullehre." Datenbank-Spektrum 21, no. 3 (October 29, 2021): 251–53. http://dx.doi.org/10.1007/s13222-021-00395-7.
Повний текст джерелаLewis, M. J. "Food engineering data book." Food Chemistry 32, no. 4 (January 1989): 319–20. http://dx.doi.org/10.1016/0308-8146(89)90090-3.
Повний текст джерелаMüller-Wondorf, Rolf. "Data Science steigert Anlageneffizienz." Logistik für Unternehmen 33, no. 01-02 (2019): 26–27. http://dx.doi.org/10.37544/0930-7834-2019-01-02-26.
Повний текст джерелаWang, Chunpeng, Ullrich Steiner, and Alessandro Sepe. "Synchrotron Big Data Science." Small 14, no. 46 (September 17, 2018): 1802291. http://dx.doi.org/10.1002/smll.201802291.
Повний текст джерелаSubhadra, Akella. "The Art of Data Science and Big Data Analytics: Inspecting and Transforming Data." Asian Journal of Computer Science and Technology 9, no. 1 (May 5, 2020): 45–56. http://dx.doi.org/10.51983/ajcst-2020.9.1.2151.
Повний текст джерелаSubhadra, Akella. "The Art of Data Science and Big Data Analytics: Inspecting and Transforming Data." Asian Journal of Electrical Sciences 9, no. 1 (May 5, 2020): 1–12. http://dx.doi.org/10.51983/ajes-2020.9.1.2374.
Повний текст джерелаSaltz, Jeffrey S., and Ivan Shamshurin. "Exploring pair programming beyond computer science: a case study in its use in data science/data engineering." International Journal of Higher Education and Sustainability 2, no. 4 (2019): 265. http://dx.doi.org/10.1504/ijhes.2019.10025048.
Повний текст джерелаSaltz, Jeffrey S., and Ivan Shamshurin. "Exploring pair programming beyond computer science: a case study in its use in data science/data engineering." International Journal of Higher Education and Sustainability 2, no. 4 (2019): 265. http://dx.doi.org/10.1504/ijhes.2019.103360.
Повний текст джерелаBellatreche, Ladjel, and A. Min Tjoa. "Special issue on advances in data, information and knowledge engineering in data science era." Computing 104, no. 4 (February 28, 2022): 711–15. http://dx.doi.org/10.1007/s00607-021-01032-7.
Повний текст джерелаWang, Yingxu. "Big Data Algebra (BDA): A Denotational Mathematical Structure for Big Data Science and Engineering." Journal of Advanced Mathematics and Applications 5, no. 1 (June 1, 2016): 3–25. http://dx.doi.org/10.1166/jama.2016.1096.
Повний текст джерелаAhmad, Yanif, Randal Burns, Michael Kazhdan, Charles Meneveau, Alex Szalay, and Andreas Terzis. "Scientific data management at the Johns Hopkins institute for data intensive engineering and science." ACM SIGMOD Record 39, no. 3 (February 8, 2011): 18–23. http://dx.doi.org/10.1145/1942776.1942782.
Повний текст джерелаAiken, P. H. "Reverse engineering of data." IBM Systems Journal 37, no. 2 (1998): 246–69. http://dx.doi.org/10.1147/sj.372.0246.
Повний текст джерелаSatyro, Marco A. "Life, data, and everything." Pure and Applied Chemistry 79, no. 8 (January 1, 2007): 1403–17. http://dx.doi.org/10.1351/pac200779081403.
Повний текст джерелаNAIDU, CH VENKATA APPALA. "Data Sythesys and Knowledge Engineering." Journal of Research on the Lepidoptera 51, no. 1 (March 10, 2020): 527–35. http://dx.doi.org/10.36872/lepi/v51i1/301047.
Повний текст джерелаReichwald, Ralf, and Juan-Ignacıo Conrat. "Engineering Change Data Management." Zeitschrift für wirtschaftlichen Fabrikbetrieb 91, no. 9 (September 1, 1996): 398–401. http://dx.doi.org/10.1515/zwf-1996-910911.
Повний текст джерелаHüngsberg, W. "Die Engineering Data Message." Zeitschrift für wirtschaftlichen Fabrikbetrieb 90, no. 9 (September 1, 1995): 452–54. http://dx.doi.org/10.1515/zwf-1995-900923.
Повний текст джерелаFerguson, Andrew L. "Machine learning and data science in soft materials engineering." Journal of Physics: Condensed Matter 30, no. 4 (December 22, 2017): 043002. http://dx.doi.org/10.1088/1361-648x/aa98bd.
Повний текст джерелаSangaiah, Arun Kumar, Hoang Pham, Mu-Yen Chen, Huimin Lu, and Francesco Mercaldo. "Cognitive data science methods and models for engineering applications." Soft Computing 23, no. 19 (August 6, 2019): 9045–48. http://dx.doi.org/10.1007/s00500-019-04262-2.
Повний текст джерелаBeck, David A. C., James M. Carothers, Venkat R. Subramanian, and Jim Pfaendtner. "Data science: Accelerating innovation and discovery in chemical engineering." AIChE Journal 62, no. 5 (February 28, 2016): 1402–16. http://dx.doi.org/10.1002/aic.15192.
Повний текст джерелаMontáns, Francisco J., Francisco Chinesta, Rafael Gómez-Bombarelli, and J. Nathan Kutz. "Data-driven modeling and learning in science and engineering." Comptes Rendus Mécanique 347, no. 11 (November 2019): 845–55. http://dx.doi.org/10.1016/j.crme.2019.11.009.
Повний текст джерелаTsujimoto, T. "Science Brought by JASMINE Data." EAS Publications Series 45 (2010): 445–48. http://dx.doi.org/10.1051/eas/1045080.
Повний текст джерелаSzczypiorski, Krzysztof. "Cybersecurity and Data Science." Electronics 11, no. 15 (July 25, 2022): 2309. http://dx.doi.org/10.3390/electronics11152309.
Повний текст джерелаShuey and Wiederhold. "Data Engineering and Information Systems." Computer 19, no. 1 (January 1986): 18–30. http://dx.doi.org/10.1109/mc.1986.1663030.
Повний текст джерелаWilliams, Unislawa, Robert Brown, Marilyn Davis, Tinaz Pavri, and Fatemeh Shafiei. "Teaching Data Science in Political Science: Integrating Methods with Substantive Curriculum." PS: Political Science & Politics 54, no. 2 (January 29, 2021): 336–39. http://dx.doi.org/10.1017/s1049096520001687.
Повний текст джерелаLytras, Miltiadis D., and Anna Visvizi. "Big Data Research for Social Science and Social Impact." Sustainability 12, no. 1 (December 24, 2019): 180. http://dx.doi.org/10.3390/su12010180.
Повний текст джерелаWang, Yingxu. "On the Cognitive and Theoretical Foundations of Big Data Science and Engineering." New Mathematics and Natural Computation 13, no. 02 (July 2017): 101–17. http://dx.doi.org/10.1142/s1793005717400026.
Повний текст джерелаGalpin, Ixent. "Data science: an emerging discipline." CITAS 2, no. 1 (July 1, 2016): 39–46. http://dx.doi.org/10.15332/24224529.5178.
Повний текст джерелаPoulova, Petra, and Ivana Simonova. "Innovations in Data Engineering Subjects." Advanced Science Letters 23, no. 6 (June 1, 2017): 5090–93. http://dx.doi.org/10.1166/asl.2017.7316.
Повний текст джерелаChuprina, Svetlana, Vassil Alexandrov, and Nia Alexandrov. "Using Ontology Engineering Methods to Improve Computer Science and Data Science Skills." Procedia Computer Science 80 (2016): 1780–90. http://dx.doi.org/10.1016/j.procs.2016.05.447.
Повний текст джерелаGökalp, Mert Onuralp, Ebru Gökalp, Kerem Kayabay, Altan Koçyiğit, and P. Erhan Eren. "Data-driven manufacturing: An assessment model for data science maturity." Journal of Manufacturing Systems 60 (July 2021): 527–46. http://dx.doi.org/10.1016/j.jmsy.2021.07.011.
Повний текст джерелаVilar, Polona, and Vlasta Zabukovec. "Research data management and research data literacy in Slovenian science." Journal of Documentation 75, no. 1 (January 14, 2019): 24–43. http://dx.doi.org/10.1108/jd-03-2018-0042.
Повний текст джерелаLaure, Erwin, Heinz Stockinger, and Kurt Stockinger. "Performance engineering in data Grids." Concurrency and Computation: Practice and Experience 17, no. 2-4 (2005): 171–91. http://dx.doi.org/10.1002/cpe.923.
Повний текст джерелаBhatt, Ritikesh, Toufiq Shaikh, Dr Sandeep Patil, Mohnish Harwani, and Bibhu Kumar. "Automating Medical Data and Using Data Science For Heart Disease Prediction." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 3933–36. http://dx.doi.org/10.22214/ijraset.2022.43278.
Повний текст джерелаCuello, Verónica, Gonzalo Zarza, Maria Corradini, and Michael Rogers. "Data Science & Engineering into Food Science: A novel Big Data Platform for Low Molecular Weight Gelators’ Behavioral Analysis." Journal of Computer Science and Technology 20, no. 2 (October 29, 2020): e08. http://dx.doi.org/10.24215/16666038.20.e08.
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