Výsledky vyhledávání - acm: h.: information systems/h.2: database management/h.2.6: database machine

1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

Autoři: Okunola, Abiodun

Special section on Advances on Data Management and Information Systems

Autoři: Darmont, Jérôme Novikov, Boris Wrembel, Robert a další

Přispěvatelé: Darmont, Jérôme Novikov, Boris Wrembel, Robert a další

Zdroj: ISSN: 1387-3326.

Témata: Graph Processing, On-Line Analytical Processing, Machine Learning, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.0: Data mining, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Dostupnost: https://hal.science/hal-03595498
https://doi.org/10.1007/s10796-021-10235-4

Verbesserung der Leistung des Relationsextraktionsalgorithmus durch Leveled Adversarial PCNN und Datenbankerweiterung ; Improving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion ; Amélioration des performances de l'algorithme d'extraction de relations via un PCNN contradictoire à niveau et une extension de la base de données

Autoři: Puspitaningrum, Diyah University of Bengkulu IEEE

Přispěvatelé: Puspitaningrum, Diyah University of Bengkulu IEEE

Zdroj: 2019 7th International Conference on Cyber and IT Service Management (CITSM) Proceedings
2019 7th International Conference on Cyber and IT Service Management (CITSM)
https://hal.archives-ouvertes.fr/hal-02889451
2019 7th International Conference on Cyber and IT Service Management (CITSM), IEEE, Nov 2019, Jakarta, Indonesia. ⟨10.1109/CITSM47753.2019.8965423⟩
https://ieeexplore.ieee.org/xpl/conhome/8950988/proceeding

Témata: relation extraction, database expansion, MDL, PCNN, classification, Minimum Description Length Principle, MSC, ACM: H.: Information Systems, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Geografické téma: Jakarta, Indonesia

Relation: hal-02889451; https://hal.archives-ouvertes.fr/hal-02889451; https://hal.archives-ouvertes.fr/hal-02889451/document; https://hal.archives-ouvertes.fr/hal-02889451/file/%5BCameraReady_96%5D_DeepLearning2019.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02889451
https://hal.archives-ouvertes.fr/hal-02889451/document
https://hal.archives-ouvertes.fr/hal-02889451/file/%5BCameraReady_96%5D_DeepLearning2019.pdf
https://doi.org/10.1109/CITSM47753.2019.8965423

Interpretation of landscape values, typology and quality using methods of spatial metrics for ecological planning

Autoři: Klaučo, Michal Gregorová, Bohuslava Stankov, Uglješa a další

Přispěvatelé: Klaučo, Michal Gregorová, Bohuslava Stankov, Uglješa a další

Zdroj: 54th International Scientific Conference ’Environmental and Climate Technologies’
https://hal.archives-ouvertes.fr/hal-01972871
54th International Scientific Conference ’Environmental and Climate Technologies’, Oct 2013, Riga, Latvia. 2013, ⟨10.6084/m9.figshare.7435400.v1⟩

Témata: Landscape analysis, Land cover and land use, Land cover classification, Land cover change modeling, NATURA 2000, European landscape convention, Slovakia, Protected areas, Environmental Accounting, Environmental modeling, Environment & Development, Ecological Approach, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS, [SDE.ES]Environmental Sciences/Environmental and Society, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.IE]Environmental Sciences/Environmental Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]

Geografické téma: Riga, Latvia

Relation: hal-01972871; https://hal.archives-ouvertes.fr/hal-01972871; https://hal.archives-ouvertes.fr/hal-01972871/document; https://hal.archives-ouvertes.fr/hal-01972871/file/Klauc%CC%8Co_etal_Poster_RTU_Latvia.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01972871
https://hal.archives-ouvertes.fr/hal-01972871/document
https://hal.archives-ouvertes.fr/hal-01972871/file/Klauc%CC%8Co_etal_Poster_RTU_Latvia.pdf
https://doi.org/10.6084/m9.figshare.7435400.v1

Using TeX Markup Language for 3D and 2D Geological Plotting

Autoři: Lemenkov, Vasiliy Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) a další

Přispěvatelé: Lemenkov, Vasiliy Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) a další

Zdroj: ISSN: 0867-6356 ; Foundations of computing and decision sciences ; https://hal.archives-ouvertes.fr/hal-03158568 ; Foundations of computing and decision sciences, 2021, 46 (3), pp.43-69. ⟨10.2478/fcds-2021-0004⟩ ; https://content.sciendo.com/view/journals/fcds/46/1/article-p43.xml.

Témata: LaTeX, TeX, markup language, plotting, data visualization, data analysis, geotechnical modelling, soil compression, 3D modelling, 2D modelling, ACM: G.: Mathematics of Computing, ACM: H.: Information Systems, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.1: Systems and Information Theory, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.2: User/Machine Systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO]Computer Science [cs], [SPI.GCIV]Engineering Sciences [physics]/Civil Engineering, [SPI.GCIV.CD]Engineering Sciences [physics]/Civil Engineering/Construction durable, [SPI.GCIV.GEOTECH]Engineering Sciences [physics]/Civil Engineering/Géotechnique, [SPI.GCIV.STRUCT]Engineering Sciences [physics]/Civil Engineering/Structures, [SPI.GCIV.RISQ]Engineering Sciences [physics]/Civil Engineering/Risques, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

Relation: hal-03158568; https://hal.archives-ouvertes.fr/hal-03158568; https://hal.archives-ouvertes.fr/hal-03158568/document; https://hal.archives-ouvertes.fr/hal-03158568/file/%5B23003405%20-%20Foundations%20of%20Computing%20and%20Decision%20Sciences%5D%20Using%20TeX%20Markup%20Language%20for%203D%20and%202D%20Geological%20Plotting.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03158568
https://hal.archives-ouvertes.fr/hal-03158568/document
https://hal.archives-ouvertes.fr/hal-03158568/file/%5B23003405%20-%20Foundations%20of%20Computing%20and%20Decision%20Sciences%5D%20Using%20TeX%20Markup%20Language%20for%203D%20and%202D%20Geological%20Plotting.pdf
https://doi.org/10.2478/fcds-2021-0004

Data Sharing, Distribution and Updating Using Social Coding Community Github and LaTeX Packages in Graduate Research

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Integration of the Education and Science: Challenges of the Modern World ; https://hal.archives-ouvertes.fr/hal-02425709 ; Integration of the Education and Science: Challenges of the Modern World, May 2015, Aqtobe, Kazakhstan. pp.31, ⟨10.13140/RG.2.2.20465.84322⟩

Témata: Education, Education Technology, Education & Training, Education -- Data processing, Education Electronic information resources, Education -- Data processing Computer-assisted instruction, Education -- Data processing Computer-assisted instruction Internet in education, Education -- Data processing Computer-assisted instruction Open learning, ACM: I.: Computing Methodologies, ACM: H.: Information Systems, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI), [INFO]Computer Science [cs], [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], [SCCO]Cognitive science, [SCCO.COMP]Cognitive science/Computer science, [SHS]Humanities and Social Sciences

Geografické téma: Aqtobe, Kazakhstan

Time: Aqtobe, Kazakhstan

Relation: hal-02425709; https://hal.archives-ouvertes.fr/hal-02425709

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425709
https://doi.org/10.13140/RG.2.2.20465.84322

GRASS GIS Modules for Topographic and Geophysical Analysis of the ETOPO1 DEM and Raster Data: North Fiji Basin, Pacific Ocean

Autoři: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Přispěvatelé: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Zdroj: ISSN: 1843-5920.

Témata: GRASS GIS, transect, profile, topography, Fiji, Pacific Ocean, bathymetry, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.2: User/Machine Systems, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.2: Graphics data structures and data types, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.3: Interaction techniques, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.4: Languages, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.5: Modeling packages, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.2: Graphics Systems, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities/I.3.4.3: Graphics packages, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities/I.3.4.5: Paint systems, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities/I.3.4.0: Application packages, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities/I.3.4.1: Device drivers

Relation: hal-03042041; https://hal.archives-ouvertes.fr/hal-03042041; https://hal.archives-ouvertes.fr/hal-03042041/document; https://hal.archives-ouvertes.fr/hal-03042041/file/Polina.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03042041
https://hal.archives-ouvertes.fr/hal-03042041/document
https://hal.archives-ouvertes.fr/hal-03042041/file/Polina.pdf
https://doi.org/10.6084/m9.figshare.13337318

Measuring Urban Deprivation from User Generated Content ACM Classification Keywords H.2.8 Database Management: Database Applications-Spa- tial Databases and GIS; H.1.2 Models and Principles: User/Machine Systems-Human information processing

Autoři: Alessandro Venerandi Giovanni Quattrone Daniele Quercia a další

Přispěvatelé: Alessandro Venerandi Giovanni Quattrone Daniele Quercia a další

Zdroj: http://researchswinger.org/publications/cscw15_venerandi.pdf.

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1083.5770; http://researchswinger.org/publications/cscw15_venerandi.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1083.5770
http://researchswinger.org/publications/cscw15_venerandi.pdf

Automatic Virtual Machine Configuration for Database Workloads.

Autoři: SOROR, AHMED A. MINHAS, UMAR FAROOQ ABOULNAGA, ASHRAF a další

Zdroj: ACM Transactions on Database Systems; Feb2010, Vol. 35 Issue 1, p7-7:47, 47p, 3 Diagrams, 4 Charts, 32 Graphs

Témata: DATABASES, DATABASE searching, MANAGEMENT information systems, DATABASE management, DATABASE design, SQL, ONLINE data processing

Certifying the interoperability of RDF database systems

Autoři: Rafes, Karima Nauroy, Julien Germain, Cécile a další

Přispěvatelé: Rafes, Karima Nauroy, Julien Germain, Cécile a další

Zdroj: LDQ 2015 - 2nd Workshop on Linked Data Quality ; https://inria.hal.science/hal-01147765 ; LDQ 2015 - 2nd Workshop on Linked Data Quality, May 2015, Portorož, Slovenia ; http://ldq.semanticmultimedia.org/

Témata: SPARQL, interoperability, Linked Data Quality, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.5: Online Information Services/H.3.5.2: Web-based services, [INFO.INFO-WB]Computer Science [cs]/Web, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]

Geografické téma: Portorož, Slovenia

Time: Portorož, Slovenia

Dostupnost: https://inria.hal.science/hal-01147765
https://inria.hal.science/hal-01147765v1/document
https://inria.hal.science/hal-01147765v1/file/ESWC_LDQ2015_Certifying_the_interoperability_FINAL_VERSION.pdf

TextBenDS: a generic Textual data Benchmark for Distributed Systems

Autoři: Truica, Ciprian-Octavian Apostol, Elena Darmont, Jérôme a další

Přispěvatelé: Truica, Ciprian-Octavian Apostol, Elena Darmont, Jérôme a další

Zdroj: ISSN: 1387-3326.

Témata: Benchmark, Distributed frameworks, Distributed DBMSs, Top-k keywords, Top-k documents, Weighting schemes, Special issue on Breakthroughs on Cross-Cutting Data Management, Data Analytics and Applied Data Science, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.8: Textual databases, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2108.05689; ARXIV: 2108.05689

Dostupnost: https://hal.science/hal-02476758
https://hal.science/hal-02476758v1/document
https://hal.science/hal-02476758v1/file/textbends.pdf
https://doi.org/10.1007/s10796-020-09999-y

Parallel Processing Systems for Big Data: A Survey.

Autoři: Zhang, Yunquan Cao, Ting Li, Shigang a další

Zdroj: Proceedings of the IEEE; Nov2016, Vol. 104 Issue 11, p2114-2136, 23p

Témata: PARALLEL processing, BIG data, DATABASE management, DATA flow computing, MACHINE learning

Advancing Database Management Through Artificial Intelligence: A Comprehensive Framework for Autonomous, Self-Optimizing Data Ecosystems.

Autoři: Reddy, A. Purushotham

Zdroj: International Scientific Journal of Engineering & Management; Oct2025, Vol. 4 Issue 10, p1-10, 10p

Témata: DATABASE management, ARTIFICIAL intelligence, SELF-organizing systems, MACHINE learning, DEEP learning, INFORMATION networks, AUTOMATION

Analysis of the difference in depths and variation in slope steepness of the Sunda Trench, Indonesia, east Indian Ocean

Autoři: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Přispěvatelé: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Zdroj: ISSN: 1453-5068 ; Revista de Geomorfologie ; https://hal.archives-ouvertes.fr/hal-03060507 ; Revista de Geomorfologie, 2020, 22 (1), pp.21-41. ⟨10.21094/rg.2020.096⟩ ; https://revistadegeomorfologie.ro/geo/index.php/revista/article/view/96.

Témata: geomorphology, GMT, Sunda Trench, Indian Ocean, geology, cartography, mapping, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.1: Simulation Theory, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, [INFO]Computer Science [cs], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography

Relation: hal-03060507; https://hal.archives-ouvertes.fr/hal-03060507; https://hal.archives-ouvertes.fr/hal-03060507/document; https://hal.archives-ouvertes.fr/hal-03060507/file/Lemenkova2020_22_21_41.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03060507
https://hal.archives-ouvertes.fr/hal-03060507/document
https://hal.archives-ouvertes.fr/hal-03060507/file/Lemenkova2020_22_21_41.pdf
https://doi.org/10.21094/rg.2020.096

The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes

Autoři: Truică, Ciprian-Octavian Apostol, Elena Darmont, Jérôme a další

Přispěvatelé: Truică, Ciprian-Octavian Apostol, Elena Darmont, Jérôme a další

Zdroj: ISSN: 2214-5796.

Témata: XML Database Management Systems, JSON Database Management Systems, Document-Oriented Database Management Systems, Benchmark, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Dostupnost: https://hal.science/hal-03112539
https://hal.science/hal-03112539v1/document
https://hal.science/hal-03112539v1/file/bdr2021tadp.pdf
https://doi.org/10.1016/j.bdr.2021.100205

The Efficiency of Histogram-like Techniques for Database Query Optimization.

Autoři: Oommen, B. John Rueda, Luis G.

Zdroj: Computer Journal; Sep2002, Vol. 45 Issue 5, p494-510, 17p

Témata: INFORMATION storage & retrieval systems, DISTRIBUTION (Probability theory), INFORMATION resources management, DATABASE searching, INFORMATION retrieval

A Decade of the Database Systems Research with the Lens of PODS, SIGMOD, TODS, and TKDE: A Bibliometric Perspective.

Autoři: Ishaq, Muhammad Farooq, Uzma Ishaq, Kashif a další

Zdroj: Serials Review; Jul-Dec2024, Vol. 50 Issue 3/4, p97-122, 26p

Témata: INFORMATION storage & retrieval systems, DATABASES, DATABASE management, SOCIAL network analysis, COMPUTER science, BIBLIOMETRICS

Principles of Distributed Database Systems, third edition

Autoři: Özsu, Tamer M. Valduriez, Patrick Database Research Group Waterloo a další

Přispěvatelé: Özsu, Tamer M. Valduriez, Patrick Database Research Group Waterloo a další

Zdroj: https://inria.hal.science/hal-00640392 ; Springer, pp.845, 2011, 978-1-4419-8833-1.

Témata: ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.1: Distributed databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.6: Database Machines, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Dostupnost: https://inria.hal.science/hal-00640392

Survey on Cloud Database Security: Cryptographic Techniques, Intrusion Detection and Intelligent Defense Mechanisms.

Autoři: Mahule, Rachana V. Jadhav, Sandeep M.

Zdroj: EPJ Web of Conferences; 11/20/2025, Vol. 341, p1-13, 13p

Témata: DATABASE security, CRYPTOGRAPHY, DEEP learning, INTRUSION detection systems (Computer security), DATA security failures, MACHINE learning, SECURITY management

Calendar of Events.

Zdroj: Communications of the ACM; Sep76, Vol. 19 Issue 9, p531-537, 3p

Témata: CONFERENCES & conventions, MEETINGS, MANAGEMENT information systems, DATABASE management, COMPUTER security, DATABASES