Literatura académica sobre el tema "Cardinality Estimation in Database Systems"
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Artículos de revistas sobre el tema "Cardinality Estimation in Database Systems"
Kwon, Suyong, Woohwan Jung y Kyuseok Shim. "Cardinality estimation of approximate substring queries using deep learning". Proceedings of the VLDB Endowment 15, n.º 11 (julio de 2022): 3145–57. http://dx.doi.org/10.14778/3551793.3551859.
Texto completoQi, Kaiyang, Jiong Yu y Zhenzhen He. "A Cardinality Estimator in Complex Database Systems Based on TreeLSTM". Sensors 23, n.º 17 (23 de agosto de 2023): 7364. http://dx.doi.org/10.3390/s23177364.
Texto completoChen, Jeremy, Yuqing Huang, Mushi Wang, Semih Salihoglu y Kenneth Salem. "Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs". ACM SIGMOD Record 52, n.º 1 (7 de junio de 2023): 94–102. http://dx.doi.org/10.1145/3604437.3604458.
Texto completoChen, Jeremy, Yuqing Huang, Mushi Wang, Semih Salihoglu y Ken Salem. "Accurate summary-based cardinality estimation through the lens of cardinality estimation graphs". Proceedings of the VLDB Endowment 15, n.º 8 (abril de 2022): 1533–45. http://dx.doi.org/10.14778/3529337.3529339.
Texto completoLan, Hai, Zhifeng Bao y Yuwei Peng. "A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration". Data Science and Engineering 6, n.º 1 (15 de enero de 2021): 86–101. http://dx.doi.org/10.1007/s41019-020-00149-7.
Texto completoWang, Xiaoying, Changbo Qu, Weiyuan Wu, Jiannan Wang y Qingqing Zhou. "Are we ready for learned cardinality estimation?" Proceedings of the VLDB Endowment 14, n.º 9 (mayo de 2021): 1640–54. http://dx.doi.org/10.14778/3461535.3461552.
Texto completoAhad, Rafiul, K. V. Bapa y Dennis McLeod. "On estimating the cardinality of the projection of a database relation". ACM Transactions on Database Systems 14, n.º 1 (marzo de 1989): 28–40. http://dx.doi.org/10.1145/62032.62034.
Texto completoMukkamala, Ravi y Sushil Jajodia. "A note on estimating the cardinality of the projection of a database relation". ACM Transactions on Database Systems 16, n.º 3 (septiembre de 1991): 564–66. http://dx.doi.org/10.1145/111197.111218.
Texto completoLi, Guoliang, Xuanhe Zhou, Ji Sun, Xiang Yu, Yue Han, Lianyuan Jin, Wenbo Li, Tianqing Wang y Shifu Li. "openGauss". Proceedings of the VLDB Endowment 14, n.º 12 (julio de 2021): 3028–42. http://dx.doi.org/10.14778/3476311.3476380.
Texto completoWoltmann, Lucas, Dominik Olwig, Claudio Hartmann, Dirk Habich y Wolfgang Lehner. "PostCENN". Proceedings of the VLDB Endowment 14, n.º 12 (julio de 2021): 2715–18. http://dx.doi.org/10.14778/3476311.3476327.
Texto completoTesis sobre el tema "Cardinality Estimation in Database Systems"
Thiyagarajah, Murali. "Attribute cardinality maps, new query result size estimation techniques for database systems". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/NQ42810.pdf.
Texto completoThiyagarajah, Murali (Muralitharam) Carleton University Dissertation Computer Science. "Attribute cardinality maps; new query result size estimation techniques for database systems". Ottawa, 1999.
Buscar texto completoQian, Chen. "Efficient cardinality counting for large-scale RFID systems /". View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20QIAN.
Texto completoNguyen, Thanh Chuyen. "Studies on Algorithms for Tag Identification and Tag Set Cardinality Estimation in Radio Frequency Identification Systems". 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/174849.
Texto completoXu, Zichen. "Power-Performance Tradeoffs in Database Systems". Scholar Commons, 2009. https://scholarcommons.usf.edu/etd/95.
Texto completoJärvelin, Kalervo. "User charge estimation in numeric online databases a methodology /". Tampere : University of Tampere, 1986. http://catalog.hathitrust.org/api/volumes/oclc/18665006.html.
Texto completoCandell, Richard. "Performance Estimation, Testing, and Control of Cyber-Physical Systems Employing Non-ideal Communications Networks". Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCK017.
Texto completoWireless technology is a key enabler of the promises of Industry 4.0 (Smart Manufacturing). As such, wireless technology will be adopted as a principal mode of communication within the factory beginning with the factory enterprise and eventually being adopted for use within the factory workcell. Factory workcell communication has particular requirements on latency, reliability, scale, and security that must first be met by the wireless communication technology used. Wireless is considered a non-ideal form of communication in that when compared to its wired counterparts, it is considered less reliable (lossy) and less secure. These possible impairments lead to delay and loss of data in industrial automation system where determinism, security, and safety is considered paramount. This thesis investigates the wireless requirements of the factory workcell and applicability of existing wireless technology, it presents a modeling approach to discovery of architecture and data flows using SysML, it provides a method for the use of graph databases to the organization and analysis of performance data collected from a testbed environment, and finally provides an approach to using machine learning in the evaluation of cyberphysical system performance
Yu, Xiaohui. "Techniques for cardinality estimation in relational database systems". 2007. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=478910&T=F.
Texto completoShah, Dhrumilkumar. "Revisiting Statistical Techniques for Result Cardinality Estimation". Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5163.
Texto completoPoosala, Viswanath. "Histogram-based estimation techniques in database systems". 1997. http://catalog.hathitrust.org/api/volumes/oclc/37585530.html.
Texto completoTypescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 209-220).
Libros sobre el tema "Cardinality Estimation in Database Systems"
Cardinality Estimation Techniques in Relational Database Systems. Saarbrücken: VDM Verlag Dr. Müller, 2008.
Buscar texto completoBranch, Australasian Institute of Mining and Metallurgy Illawarra. The resource database towards 2000: Towards 2000 AusIMM mineral resources and ore reserves estimation seminars. Wollongong]: The AusIMM Illawarra Branch, 1997.
Buscar texto completoMete, Celik y SpringerLink (Online service), eds. Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques. Boston, MA: Springer US, 2012.
Buscar texto completo1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics. y International Conference on Systems Research, Informatics and Cybernetics (13th : 2001 : Baden-Baden, Germany), eds. Advances in database and expert systems: Data mining and data warehousing techniques, similarity search for reusable database components, performance assessment of learning algorithms, estimation of models for expert systems, complexity evaluation of software processes, multi-agent systems, multi-agent approach to coalition formation, communication between software agents in distributed information systems, expert systems for fault diagnosis, parameter modulated fractals generators, information management in Intranet and Extranet environments. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2001.
Buscar texto completoCapítulos de libros sobre el tema "Cardinality Estimation in Database Systems"
Willkomm, Jens, Martin Schäler y Klemens Böhm. "Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees". En Database Systems for Advanced Applications, 721–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73197-7_50.
Texto completoManegold, Stefan. "Cost Estimation". En Encyclopedia of Database Systems, 1–7. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_857-2.
Texto completoPitoura, Evaggelia. "Selectivity Estimation". En Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_862-2.
Texto completoManegold, Stefan. "Cost Estimation". En Encyclopedia of Database Systems, 506–11. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_857.
Texto completoPitoura, Evaggelia. "Selectivity Estimation". En Encyclopedia of Database Systems, 2548. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_862.
Texto completoManegold, Stefan. "Cost Estimation". En Encyclopedia of Database Systems, 647–53. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_857.
Texto completoPitoura, Evaggelia. "Selectivity Estimation". En Encyclopedia of Database Systems, 3371–72. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_862.
Texto completoRamanath, Maya, Juliana Freire y Neoklis Polyzotis. "XML Selectivity Estimation". En Encyclopedia of Database Systems, 1–5. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_801-2.
Texto completoRamanath, Maya, Juliana Freire y Neoklis Polyzotis. "XML Selectivity Estimation". En Encyclopedia of Database Systems, 3623–27. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_801.
Texto completoKollios, George. "Spatiotemporal Selectivity Estimation". En Encyclopedia of Database Systems, 3650–53. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_363.
Texto completoActas de conferencias sobre el tema "Cardinality Estimation in Database Systems"
Najjar, F. y Y. Slimani. "Cardinality estimation of distributed join queries". En Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99. IEEE, 1999. http://dx.doi.org/10.1109/dexa.1999.795147.
Texto completoAbsalyamov, Ildar, Michael J. Carey y Vassilis J. Tsotras. "Lightweight Cardinality Estimation in LSM-based Systems". En SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3183713.3183761.
Texto completoQian, Chen, Hoilun Ngan y Yunhao Liu. "Cardinality Estimation for Large-scale RFID Systems". En 2008 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 2008. http://dx.doi.org/10.1109/percom.2008.77.
Texto completoShah-Mansouri, Vahid y Vincent W. S. Wong. "Anonymous Cardinality Estimation in RFID Systems with Multiple Readers". En GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. IEEE, 2009. http://dx.doi.org/10.1109/glocom.2009.5425505.
Texto completoZheng, Yuanqing y Mo Li. "ZOE: Fast cardinality estimation for large-scale RFID systems". En IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6566879.
Texto completoZhou, Zeyu y Bruce Hajek. "Per-Flow Cardinality Estimation Based On Virtual LogLog Sketching". En 2019 53rd Annual Conference on Information Sciences and Systems (CISS). IEEE, 2019. http://dx.doi.org/10.1109/ciss.2019.8692884.
Texto completoLi, Binbin, Yuan He y Wenyuan Liu. "Towards Constant-Time Cardinality Estimation for Large-Scale RFID Systems". En 2015 44th International Conference on Parallel Processing (ICPP). IEEE, 2015. http://dx.doi.org/10.1109/icpp.2015.90.
Texto completoHou, Yuxiao, Jiajue Ou, Yuanqing Zheng y Mo Li. "PLACE: Physical layer cardinality estimation for large-scale RFID systems". En IEEE INFOCOM 2015 - IEEE Conference on Computer Communications. IEEE, 2015. http://dx.doi.org/10.1109/infocom.2015.7218579.
Texto completoJiang, Wenchao y Yanmin Zhu. "A Unified Approach for Fast and Accurate Cardinality Estimation in RFID Systems". En 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2014. http://dx.doi.org/10.1109/mass.2014.34.
Texto completoOzmen, Oguzhan, Kenneth Salem, Mustafa Uysal y M. Hossein Sheikh Attar. "Storage workload estimation for database management systems". En the 2007 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1247480.1247523.
Texto completoInformes sobre el tema "Cardinality Estimation in Database Systems"
Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu y Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.
Texto completoChien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu y Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.
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