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Статті в журналах з теми "Cardinality Estimation"
Harmouch, Hazar, and Felix Naumann. "Cardinality estimation." Proceedings of the VLDB Endowment 11, no. 4 (December 2017): 499–512. http://dx.doi.org/10.1145/3186728.3164145.
Повний текст джерелаKwon, Suyong, Woohwan Jung, and Kyuseok Shim. "Cardinality estimation of approximate substring queries using deep learning." Proceedings of the VLDB Endowment 15, no. 11 (July 2022): 3145–57. http://dx.doi.org/10.14778/3551793.3551859.
Повний текст джерелаLiu, Jie, Wenqian Dong, Qingqing Zhou, and Dong Li. "Fauce." Proceedings of the VLDB Endowment 14, no. 11 (July 2021): 1950–63. http://dx.doi.org/10.14778/3476249.3476254.
Повний текст джерелаSun, Ji, Jintao Zhang, Zhaoyan Sun, Guoliang Li, and Nan Tang. "Learned cardinality estimation." Proceedings of the VLDB Endowment 15, no. 1 (September 2021): 85–97. http://dx.doi.org/10.14778/3485450.3485459.
Повний текст джерелаHan, Yuxing, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, et al. "Cardinality estimation in DBMS." Proceedings of the VLDB Endowment 15, no. 4 (December 2021): 752–65. http://dx.doi.org/10.14778/3503585.3503586.
Повний текст джерелаYang, Zongheng, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, and Ion Stoica. "Deep unsupervised cardinality estimation." Proceedings of the VLDB Endowment 13, no. 3 (November 2019): 279–92. http://dx.doi.org/10.14778/3368289.3368294.
Повний текст джерелаChen, Jeremy, Yuqing Huang, Mushi Wang, Semih Salihoglu, and Ken Salem. "Accurate summary-based cardinality estimation through the lens of cardinality estimation graphs." Proceedings of the VLDB Endowment 15, no. 8 (April 2022): 1533–45. http://dx.doi.org/10.14778/3529337.3529339.
Повний текст джерелаChen, Jeremy, Yuqing Huang, Mushi Wang, Semih Salihoglu, and Kenneth Salem. "Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs." ACM SIGMOD Record 52, no. 1 (June 7, 2023): 94–102. http://dx.doi.org/10.1145/3604437.3604458.
Повний текст джерелаJie, Xu, Lan Haoliang, Ding Wei, and Ju Ao. "Network Host Cardinality Estimation Based on Artificial Neural Network." Security and Communication Networks 2022 (March 24, 2022): 1–14. http://dx.doi.org/10.1155/2022/1258482.
Повний текст джерелаGao, Jintao, Zhanhuai Li, and Wenjie Liu. "A Strategy of Efficient and Accurate Cardinality Estimation Based on Query Result." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 4 (August 2018): 768–77. http://dx.doi.org/10.1051/jnwpu/20183640768.
Повний текст джерелаДисертації з теми "Cardinality Estimation"
Falgén, Enqvist Olle. "Cardinality estimation with a machine learning approach." Thesis, KTH, Optimeringslära och systemteori, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288909.
Повний текст джерелаDenna uppsats undersöker hur tre olika maskininlärningsmodeller presterar på kardinalitetsuppskattning för sql förfrågningar till en databas. Alla tre modeller utvärderades på tre olika datauppsättningar. Modellerna fick både behandla förfrågningar från en tabell, samt en sammanslagning mellan två tabeller. Postgresql's egna kardinalitetsestimerare användes som referenspunkt. De utvärderade modellerna var följande: artificiella neurala nätverk, random forests och extreme gradient boosted trees. En slutsats var att den modellen som utförde uppgiften bäst var extreme gradient boosted trees med en tweedie-regression förlustfunktion. Såvitt författaren vet är det här första gången den här typen av extreme gradient boosted tree används på denna typ av problem.
Qian, 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.
Повний текст джерелаThiyagarajah, 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.
Повний текст джерелаThiyagarajah, Murali (Muralitharam) Carleton University Dissertation Computer Science. "Attribute cardinality maps; new query result size estimation techniques for database systems." Ottawa, 1999.
Знайти повний текст джерелаNguyen, 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.
Повний текст джерелаCosma, Ioana Ada. "Dimension reduction of streaming data via random projections." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:09eafd84-8cb3-4e54-8daf-18db7832bcfc.
Повний текст джерелаLo, Bianco Accou Giovanni Christian. "Estimating the number of solutions on cardinality constraints." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0155/document.
Повний текст джерелаThe main asset of constraint programming is its wide variety of algorithms that comes from the major areas of artificial intelligence, logic programming and operational research. It offers specialists a limitless range of possible configurations to tackle combinatorial problems, but it becomes an obstacle to the wider diffusion of the paradigm. The current tools are very far from being used as a black-box tool, and it assumes a good knowledge of the field, in particular regarding the parametrization of solvers.In this thesis, we propose to analyze the behavior of cardinality constraints with probabilistic models and counting tools, to automatically parameterize constraint solvers: heuristics of choice of variables and choice of values and search strategies
Yasnitsky, Irena. "Query cardinality estimation in relational databases /." 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR19658.
Повний текст джерелаTypescript. Includes bibliographical references (leaves 261-287). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR19658
Yu, Xiaohui. "Techniques for cardinality estimation in relational database systems." 2007. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=478910&T=F.
Повний текст джерелаКниги з теми "Cardinality Estimation"
Cardinality Estimation Techniques in Relational Database Systems. Saarbrücken: VDM Verlag Dr. Müller, 2008.
Знайти повний текст джерелаЧастини книг з теми "Cardinality Estimation"
Fernandez, Gregory, and Chabane Djeraba. "Partition Cardinality Estimation in Image Repositories." In Mining Multimedia and Complex Data, 232–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39666-6_15.
Повний текст джерелаSong, Jinhua, Ching-Hsien Hsu, Mianxiong Dong, and Daqiang Zhang. "Vehicle Cardinality Estimation in VANETs by Using RFID Tag Estimator." In Internet of Vehicles - Safe and Intelligent Mobility, 3–15. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27293-1_1.
Повний текст джерелаCichoń, Jacek, Jakub Lemiesz, and Marcin Zawada. "On Cardinality Estimation Protocols for Wireless Sensor Networks." In Ad-hoc, Mobile, and Wireless Networks, 322–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22450-8_25.
Повний текст джерелаParadies, Marcus, Elena Vasilyeva, Adrian Mocan, and Wolfgang Lehner. "Robust Cardinality Estimation for Subgraph Isomorphism Queries on Property Graphs." In Lecture Notes in Computer Science, 184–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41576-5_14.
Повний текст джерелаDouik, Ahmed, Salah A. Aly, Tareq Y. Al-Naffouri, and Mohamed-Slim Alouini. "Cardinality Estimation Algorithm in Large-Scale Anonymous Wireless Sensor Networks." In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 569–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64861-3_53.
Повний текст джерелаWillkomm, Jens, Martin Schäler, and Klemens Böhm. "Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees." In Database Systems for Advanced Applications, 721–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73197-7_50.
Повний текст джерелаKhachatryan, Andranik, and Klemens Böhm. "Accurate Cost Estimation Using Distribution-Based Cardinality Estimates for Multi-dimensional Queries." In Lecture Notes in Computer Science, 581–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22351-8_46.
Повний текст джерелаChinnaiah, Balarengadurai. "Protection of DDoS Attacks at the Application Layer: HyperLogLog (HLL) Cardinality Estimation." In Cognitive Informatics and Soft Computing, 595–604. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1056-1_46.
Повний текст джерелаZhu, Daobing, Dongsheng He, Shuhuan Fan, Jianming Liao, and Mengshu Hou. "GACE: Graph-Attention-Network-Based Cardinality Estimator." In Lecture Notes in Computer Science, 332–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86475-0_32.
Повний текст джерелаIto, Ryuichi, Chuan Xiao, and Makoto Onizuka. "Robust Cardinality Estimator by Non-autoregressive Model." In Communications in Computer and Information Science, 55–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93849-9_3.
Повний текст джерелаТези доповідей конференцій з теми "Cardinality Estimation"
Cai, Walter, Magdalena Balazinska, and Dan Suciu. "Pessimistic Cardinality Estimation." In SIGMOD/PODS '19: International Conference on Management of Data. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3299869.3319894.
Повний текст джерелаZhang, Zhenjie, Yin Yang, Ruichu Cai, Dimitris Papadias, and Anthony Tung. "Kernel-based skyline cardinality estimation." In the 35th SIGMOD international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1559845.1559899.
Повний текст джерелаThiele, Maik, Tim Kiefer, and Wolfgang Lehner. "Cardinality estimation in ETL processes." In Proceeding of the ACM twelfth international workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1651291.1651302.
Повний текст джерелаXie, JiangCheng, Le Tang, and Jing He. "Unsupervised Model with Cardinality Estimation." In 2022 International Seminar on Computer Science and Engineering Technology (SCSET). IEEE, 2022. http://dx.doi.org/10.1109/scset55041.2022.00056.
Повний текст джерелаNajjar, F., and Y. Slimani. "Cardinality estimation of distributed join queries." In Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99. IEEE, 1999. http://dx.doi.org/10.1109/dexa.1999.795147.
Повний текст джерелаSun, Ji, Guoliang Li, and Nan Tang. "Learned Cardinality Estimation for Similarity Queries." In SIGMOD/PODS '21: International Conference on Management of Data. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448016.3452790.
Повний текст джерелаLiu, Xiulong, Bin Xiao, Keqiu Li, Jie Wu, Alex X. Liu, Heng Qi, and Xin Xie. "RFID cardinality estimation with blocker tags." In IEEE INFOCOM 2015 - IEEE Conference on Computer Communications. IEEE, 2015. http://dx.doi.org/10.1109/infocom.2015.7218548.
Повний текст джерелаLucchese, Riccardo, and Damiano Varagnolo. "Networks cardinality estimation using order statistics." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7171924.
Повний текст джерелаRé, Christopher, and Dan Suciu. "Understanding cardinality estimation using entropy maximization." In the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1807085.1807095.
Повний текст джерелаWoltmann, Lucas, Claudio Hartmann, Maik Thiele, Dirk Habich, and Wolfgang Lehner. "Cardinality estimation with local deep learning models." In the Second International Workshop. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3329859.3329875.
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