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Publication search results
found 163 matches
- 2023
- Zizhong Meng, Xin Cao, Gao Cong:
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes. Proc. ACM Manag. Data 1(4): 261:1-261:26 (2023) - 2022
- Wenjun Jiang, Mingyang Yue, Xiaojun Yuan, Yong Zuo:
Massive Connectivity Over MIMO-OFDM: Joint Activity Detection and Channel Estimation With Frequency Selectivity Compensation. IEEE Trans. Wirel. Commun. 21(9): 6920-6934 (2022) - Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma:
Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model. EDBT 2022: 2:247-2:259 - Igor Kim, Seungkeun Park:
Impact of Receiver Selectivity Mask on Maximum Power Estimation at 6 GHz band. ICTC 2022: 1707-1709 - Diogo Repas, Zhicheng Luo, Maxime Schoemans, Mahmoud Attia Sakr:
Selectivity Estimation of Inequality Joins In Databases. CoRR abs/2206.07396 (2022) - 2021
- Meifan Zhang, Hongzhi Wang:
Selectivity estimation with density-model-based multidimensional histogram. Knowl. Inf. Syst. 63(4): 971-992 (2021) - Linli Qi, Peiquan Jin, Shouhong Wan:
Efficient Selectivity Estimation for Relation-Tree Joins in Multi-Model Databases. IEEE BigData 2021: 5998-6002 - Mayur Patil, Amr Magdy:
LATEST: Learning-Assisted Selectivity Estimation Over Spatio-Textual Streams. ICDE 2021: 1607-1618 - Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang, Yoshiharu Ishikawa:
Consistent and Flexible Selectivity Estimation for High-Dimensional Data. SIGMOD Conference 2021: 2319-2327 - 2020
- Max Halford:
Statistical learning for selectivity estimation in relational databases. (Apprentissage statistique pour l'estimation de sélectivité en bases de données relationnelles). Paul Sabatier University, Toulouse, France, 2020 - Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. Proc. VLDB Endow. 14(4): 471-484 (2020) - Max Halford, Philippe Saint-Pierre, Franck Morvan:
Selectivity Estimation with Attribute Value Dependencies Using Linked Bayesian Networks. Trans. Large Scale Data Knowl. Centered Syst. 46: 154-188 (2020) - Diego Havenstein, Peter Lysakovski, Norman May, Guido Moerkotte, Gabriele Steidl:
Fast Entropy Maximization for Selectivity Estimation of Conjunctive Predicates on CPUs and GPUs. EDBT 2020: 546-554 - Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. SIGMOD Conference 2020: 1035-1050 - Chao Zhang, Jiaheng Lu:
Selectivity Estimation for Relation-Tree Joins. SSDBM 2020: 8:1-8:12 - Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang:
Consistent and Flexible Selectivity Estimation for High-dimensional Data. CoRR abs/2005.09908 (2020) - Tin Vu, Ahmed Eldawy:
DeepSampling: Selectivity Estimation with Predicted Error and Response Time. CoRR abs/2008.06831 (2020) - Max Halford, Philippe Saint-Pierre, Franck Morvan:
Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks. CoRR abs/2009.09883 (2020) - 2019
- Yang Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Liping Wang:
Selectivity Estimation on Set Containment Search. Data Sci. Eng. 4(3): 254-268 (2019) - Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek R. Narasayya, Surajit Chaudhuri:
Selectivity Estimation for Range Predicates using Lightweight Models. Proc. VLDB Endow. 12(9): 1044-1057 (2019) - A. B. Siddique, Ahmed Eldawy, Vagelis Hristidis:
Euler++: Improved Selectivity Estimation for Rectangular Spatial Records. IEEE BigData 2019: 4129-4133 - Max Halford, Philippe Saint-Pierre, Franck Morvan:
An Approach Based on Bayesian Networks for Query Selectivity Estimation. DASFAA (2) 2019: 3-19 - Yang Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Liping Wang:
Selectivity Estimation on Set Containment Search. DASFAA (1) 2019: 330-349 - Dariusz Rafal Augustyn:
Using Copula and Quantiles Evolution in Prediction of Multidimensional Distributions for Better Query Selectivity Estimation. ICMMI 2019: 209-220 - Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Multi-Attribute Selectivity Estimation Using Deep Learning. CoRR abs/1903.09999 (2019) - Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Selectivity Estimation with Deep Likelihood Models. CoRR abs/1905.04278 (2019) - Max Halford, Philippe Saint-Pierre, Franck Morvan:
An Approach Based on Bayesian Networks for Query Selectivity Estimation. CoRR abs/1907.06295 (2019) - 2018
- Jun Hyung Shin:
Novel Selectivity Estimation Strategy for Modern DBMS. University of California, Merced, USA, 2018 - Magnus Müller, Guido Moerkotte, Oliver Kolb:
Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses. Proc. VLDB Endow. 11(9): 1016-1028 (2018) - Nikolay Yakovets, Li Wang, George H. L. Fletcher, B. Craig Taverner, Alexandra Poulovassilis:
Histogram Domain Ordering for Path Selectivity Estimation. EDBT 2018: 493-496
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