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Artykuły w czasopismach na temat "Data models, storage and indexing"
Wang, Zhaoguo, Haibo Chen, Youyun Wang, Chuzhe Tang i Huan Wang. "The Concurrent Learned Indexes for Multicore Data Storage". ACM Transactions on Storage 18, nr 1 (28.02.2022): 1–35. http://dx.doi.org/10.1145/3478289.
Pełny tekst źródłaSelihat, Maali, Belal Abuhaja i Khalid Alkaabneh. "Secure audio file indexing based on hidden markov model (HMM) on the cloud storage". International Journal Artificial Intelligent and Informatics 2, nr 1 (16.07.2021): 1–8. http://dx.doi.org/10.33292/ijarlit.v2i1.30.
Pełny tekst źródłaFrady, E. Paxon, Denis Kleyko i Friedrich T. Sommer. "A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks". Neural Computation 30, nr 6 (czerwiec 2018): 1449–513. http://dx.doi.org/10.1162/neco_a_01084.
Pełny tekst źródłaIbtisam, Ferrahi Ibtisam, Sandro Bimonte i Kamel Boukhalfa. "Logical and Physical Design of Spatial Non-Strict Hierarchies in Relational Spatial Data Warehouse". International Journal of Data Warehousing and Mining 15, nr 1 (styczeń 2019): 1–18. http://dx.doi.org/10.4018/ijdwm.2019010101.
Pełny tekst źródłaAbebe, Michael, Horatiu Lazu i Khuzaima Daudjee. "Tiresias". Proceedings of the VLDB Endowment 15, nr 11 (lipiec 2022): 3126–36. http://dx.doi.org/10.14778/3551793.3551857.
Pełny tekst źródłaRao, Sirisala Nageswara. "Optimized Cost Model for k-NN Queries in R*-Trees over Random Distribution". Advanced Materials Research 403-408 (listopad 2011): 3315–21. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3315.
Pełny tekst źródłaMa, Chaohong, Xiaohui Yu, Yifan Li, Xiaofeng Meng i Aishan Maoliniyazi. "FILM". Proceedings of the VLDB Endowment 16, nr 3 (listopad 2022): 561–73. http://dx.doi.org/10.14778/3570690.3570704.
Pełny tekst źródłaGe, Jiake, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen i Anqun Pan. "SALI: A Scalable Adaptive Learned Index Framework based on Probability Models". Proceedings of the ACM on Management of Data 1, nr 4 (8.12.2023): 1–25. http://dx.doi.org/10.1145/3626752.
Pełny tekst źródłaBoguslawski, P., P. Balak i C. Gold. "DATABASE STORAGE AND TRANSPARENT MEMORY LOADING OF BIG SPATIAL DATASETS IMPLEMENTED WITH THE DUAL HALF-EDGE DATA STRUCTURE". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (1.06.2022): 9–15. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-9-2022.
Pełny tekst źródłaRamzan, Bajwa, Kazmi i Amna. "Challenges in NoSQL-Based Distributed Data Storage: A Systematic Literature Review". Electronics 8, nr 5 (30.04.2019): 488. http://dx.doi.org/10.3390/electronics8050488.
Pełny tekst źródłaRozprawy doktorskie na temat "Data models, storage and indexing"
Munishwar, Vikram P. "Storage and indexing issues in sensor networks". Diss., Online access via UMI:, 2006.
Znajdź pełny tekst źródłaOttoson, Patrik. "Geographic Indexing and Data Management for 3D-Visualisation". Doctoral thesis, Stockholm : Tekniska högsk, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3235.
Pełny tekst źródłaVasaitis, Vasileios. "Novel storage architectures and pointer-free search trees for database systems". Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6240.
Pełny tekst źródłaJia, Yanan Jia. "Generalized Bilinear Mixed-Effects Models for Multi-Indexed Multivariate Data". The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469180629.
Pełny tekst źródłaHabtu, Simon. "Indexing file metadata using a distributed search engine for searching files on a public cloud storage". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232064.
Pełny tekst źródłaVisma Labs AB eller Visma ville genomföra experiment för att se om filmetadata skulle kunna indexeras för att söka efter filer på ett publikt moln. Med tanke på att lagring av filer på ett publikt moln är billigare än den nuvarande lagringslösningen, kan implementeringen spara Visma pengar som spenderas på dyra lagringskostnader. Denna studie är därför till för att hitta och utvärdera ett tillvägagångssätt valt för att indexera filmetadata och söka filer på ett offentligt molnlagring med den utvalda distribuerade sökmotorn Elasticsearch. Arkitekturen för den föreslagna lösningen har likenelser av en filtjänst och implementerades med flera containeriserade tjänster för att den ska fungera. Resultaten visar att filservicelösningen verkligen är möjlig men skulle behöva ytterligare modifikationer och fler resurser att fungera enligt Vismas krav.
Singh, Aameek. "Secure Management of Networked Storage Services: Models and Techniques". Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-04092007-004039/.
Pełny tekst źródłaLiu, Ling, Committee Chair ; Aberer, Karl, Committee Member ; Ahamad, Mustaque, Committee Member ; Blough, Douglas, Committee Member ; Pu, Calton, Committee Member ; Voruganti, Kaladhar, Committee Member.
Paul, Arnab Kumar. "An Application-Attuned Framework for Optimizing HPC Storage Systems". Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99793.
Pełny tekst źródłaDoctor of Philosophy
Clusters of multiple computers connected through internet are often deployed in industry and laboratories for large scale data processing or computation that cannot be handled by standalone computers. In such a cluster, resources such as CPU, memory, disks are integrated to work together. With the increase in popularity of applications that read and write a tremendous amount of data, we need a large number of disks that can interact effectively in such clusters. This forms the part of high performance computing (HPC) storage systems. Such HPC storage systems are used by a diverse set of applications coming from organizations from a vast range of domains from earth sciences, financial services, telecommunication to life sciences. Therefore, the HPC storage system should be efficient to perform well for the different read and write (I/O) requirements from all the different sets of applications. But current HPC storage systems do not cater to the varied I/O requirements. To this end, this dissertation designs and develops a framework for HPC storage systems that is application-attuned and thus provides much improved performance than other state-of-the-art HPC storage systems without such optimizations.
Regin, Måns, i Gunnarsson Emil. "Refactoring Existing Database Layers for Improved Performance, Readability and Simplicity". Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105277.
Pełny tekst źródłaChan, Wing Sze. "Semantic search of multimedia data objects through collaborative intelligence". HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1171.
Pełny tekst źródłaTandon, Ashish. "Analysis and optimization of data storage using enhanced object models in the .NET framework". Thesis, Edinburgh Napier University, 2007. http://researchrepository.napier.ac.uk/Output/4047.
Pełny tekst źródłaKsiążki na temat "Data models, storage and indexing"
Institute, Environmental Systems Research, red. ARC/INFO data management: Concepts, data models, database design, and storage. Redlands, Calif: ESRI, 1994.
Znajdź pełny tekst źródłaManolopoulos, Yannis. Advanced database indexing. Boston: Kluwer Academic, 2000.
Znajdź pełny tekst źródłaCisco, Susan Lynn. Indexing business records: The value proposition. Silver Spring, MD: Association for Information and Image Management International, 1998.
Znajdź pełny tekst źródłaKataja, Kari J. Numerical modelling of near field optical data storage. [Espoo, Finland]: VTT Technical Research Centre of Finland, 2005.
Znajdź pełny tekst źródłaBertino, Elisa. Indexing Techniques for Advanced Database Systems. Boston, MA: Springer US, 1997.
Znajdź pełny tekst źródłaBearman, David. Archives & museum data models & dictionaries. Pittsburgh, Pa: Archives & Museum Informatics, 1990.
Znajdź pełny tekst źródłaBearman, David. Archives & museum data models & dictionaries. Pittsburgh: Archives & Museum Informatics, 1990.
Znajdź pełny tekst źródłaCandan, K. Selçuk. Data management for multimedia retrieval. Cambridge: Cambridge University Press, 2010.
Znajdź pełny tekst źródłaFerrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.
Znajdź pełny tekst źródłaFerrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.
Znajdź pełny tekst źródłaCzęści książek na temat "Data models, storage and indexing"
Feng, Dan. "Indexing Schemes". W Data Deduplication for High Performance Storage System, 53–68. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0112-6_4.
Pełny tekst źródłaHarrison, Guy. "Data Models and Storage". W Next Generation Databases, 145–66. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1329-2_10.
Pełny tekst źródłaGrefenstette, Gregory, i Laura Wilber. "Data Models & Storage". W Search-Based Applications, 23–37. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02274-6_4.
Pełny tekst źródłaGibbons, Philip B. "Data Storage and Indexing in Sensor Networks". W Encyclopedia of Database Systems, 635–38. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_112.
Pełny tekst źródłaGibbons, Phillip B. "Data Storage and Indexing in Sensor Networks". W Encyclopedia of Database Systems, 1–4. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_112-2.
Pełny tekst źródłaGibbons, Phillip B. "Data Storage and Indexing in Sensor Networks". W Encyclopedia of Database Systems, 850–53. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_112.
Pełny tekst źródłaWu, Dongyao, Sherif Sakr i Liming Zhu. "Big Data Storage and Data Models". W Handbook of Big Data Technologies, 3–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49340-4_1.
Pełny tekst źródłaKumari, Poonam, Amit Kr Mishra i Vivek Sharma. "A Survey: Secure Indexing & Storage of Big Data". W Conference Proceedings of ICDLAIR2019, 37–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67187-7_5.
Pełny tekst źródłaSchneider, Ralf. "Storage and Indexing of Fine Grain, Large Scale Data Sets". W Sustained Simulation Performance 2013, 89–104. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01439-5_7.
Pełny tekst źródłaPalm, Günther, i Friedrich T. Sommer. "Associative Data Storage and Retrieval in Neural Networks". W Models of Neural Networks III, 79–118. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0723-8_3.
Pełny tekst źródłaStreszczenia konferencji na temat "Data models, storage and indexing"
Guo, Yang, i Zili Shao. "Cymo: A Storage Model with Query-Aware Indexing for Spatio-Temporal Big Data". W 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS). IEEE, 2022. http://dx.doi.org/10.1109/icdcs54860.2022.00021.
Pełny tekst źródłaYi, Michael, Kamil Ceglinski, Pradeepkumar Ashok, Michael Behounek, Spencer White, Trey Peroyea i Taylor Thetford. "Applications of Large Language Models in Well Construction Planning and Real-Time Operation". W IADC/SPE International Drilling Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/217700-ms.
Pełny tekst źródłaTishechkin, Dmitriy, i Yannick Agbor. "Step into Geological Samples Digital Twins". W ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216868-ms.
Pełny tekst źródłaPanwar, Ajeet Pal Singh, Devendra Kumar i Jaydesh Chandra. "Hierarchal data storage using NAI indexing". W 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall). IEEE, 2017. http://dx.doi.org/10.1109/icaccaf.2017.8344687.
Pełny tekst źródłaAlsubaiee, Sattam, Michael J. Carey i Chen Li. "LSM-Based Storage and Indexing". W SIGMOD/PODS'15: International Conference on Management of Data. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2786006.2786007.
Pełny tekst źródłaShraer, Alexander. "Session details: Industry 2: Storage & Indexing". W SIGMOD/PODS '19: International Conference on Management of Data. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3341283.
Pełny tekst źródłaYujie Liu, Xiaodong Zhang, Yang Liu i Zongmin Li. "3D models’ indexing and compression storage in digital library". W 2008 IEEE International Symposium on IT in Medicine and Education (ITME). IEEE, 2008. http://dx.doi.org/10.1109/itme.2008.4743888.
Pełny tekst źródłaWeintraub, Grisha, Ehud Gudes i Shlomi Dolev. "Indexing cloud data lakes within the lakes". W SYSTOR '21: The 14th ACM International Systems and Storage Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3456727.3463828.
Pełny tekst źródłaBinnig, Carsten. "Session details: Research session 19: storage and indexing". W SIGMOD/PODS'14: International Conference on Management of Data. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/3255769.
Pełny tekst źródłaPereira, Anil L. "Parallel Data Indexing and Storage on a COTS Cluster". W 2020 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2020. http://dx.doi.org/10.1109/csci51800.2020.00236.
Pełny tekst źródłaRaporty organizacyjne na temat "Data models, storage and indexing"
Bethel, E. Wes, Luke Gosink, John Shalf, Kurt Stockinger i Kesheng Wu. HDF5-FastQuery: An API for Simplifying Access to Data Storage,Retrieval, Indexing and Querying. Office of Scientific and Technical Information (OSTI), czerwiec 2006. http://dx.doi.org/10.2172/888964.
Pełny tekst źródłaArtemov, S. N., i V. Krupski. Efficient Models for Data Storage with References. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1997. http://dx.doi.org/10.21236/ada344311.
Pełny tekst źródłaStevens, Rick. Development of an Extensible Computational Framework for Centralized Storage and Distributed Curation and Analysis of Genomic Data Genome-scale Metabolic Models. Office of Scientific and Technical Information (OSTI), sierpień 2010. http://dx.doi.org/10.2172/1234257.
Pełny tekst źródłaGarcía-Espinosa, J., i C. Soriano. Data management plan. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.003.
Pełny tekst źródłaFertitta, David, Maxwell Agnew i David Ramirez. Technical assessment of the Old, Mississippi, Atchafalaya, and Red (OMAR) Rivers : HEC-RAS model. Engineer Research and Development Center (U.S.), sierpień 2022. http://dx.doi.org/10.21079/11681/45170.
Pełny tekst źródłaSemerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev i Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], czerwiec 2019. http://dx.doi.org/10.31812/123456789/3178.
Pełny tekst źródłaOlsen i Wilson. L52145 Geomechanical Analysis and Design Considerations for Thin-Bedded Salt Caverns. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), grudzień 2005. http://dx.doi.org/10.55274/r0011349.
Pełny tekst źródłaBédard, K., A. Marsh, M. Hillier i Y. Music. 3D geological model of the Western Canadian Sedimentary Basin in Saskatchewan, Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331747.
Pełny tekst źródłaRudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, lipiec 2022. http://dx.doi.org/10.32370/iaj.2710.
Pełny tekst źródłaThe Integrated Economic-Environmental Modeling Platform: IEEM Platform Technical Guides: The Ecosystem Services Modeling Data Packet: Overview and Guidelines for Use. Inter-American Development Bank, marzec 2021. http://dx.doi.org/10.18235/0003076.
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