Being Happy with the Least: Achieving α-happiness with Minimum Number of Tuples.

Peng Peng 0002 Hong Kong University of Science and Technology, Hong Kong https://orcid.org/0000-0002-7801-2285 https://www.wikidata.org/entity/Q58352725 Peng Peng Peng Peng 0001 Hunan University, Big Data Provincial Key Laboratory, Changsha, China Peking University, Institute of Computer Science and Technology, Beijing, China https://orcid.org/0000-0002-8095-8061 https://www.wikidata.org/entity/Q131018942 Peng Peng 0003 Microsoft Corp., Redmond, WA, USA Simon Fraser University, School of Computing Science, Burnaby, BC, Canada University of Science and Technology of China, School of Computer Science and Technology, Hefei, China https://orcid.org/0000-0002-6506-1184 Peng Peng 0004 Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China https://orcid.org/0000-0001-9033-1361 Peng Peng 0005 South China University of Technology, School of Future Technology, Guangzhou, China Peng Cheng Laboratory, Shenzhen, China https://ieeexplore.ieee.org/author/152909078589663 https://orcid.org/0000-0003-1204-9234 Peng Peng 0006 Zhejiang University-University of Illinois at Urbana-Champaign Institute, Haining, China Tsinghua University, Department of Automation, Beijing, China https://ieeexplore.ieee.org/author/37086956876 https://www.scopus.com/authid/detail.uri?authorId=57208757737 https://orcid.org/0000-0001-7062-1150 Peng Peng 0007 Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Beijing, China https://ieeexplore.ieee.org/author/37087040157 https://orcid.org/0000-0003-2838-2111 Peng Peng 0008 Hunan University, College of Computer Science and Electronic Engineering, Changsha, China Min Xie Raymond Chi-Wing Wong Peng Peng 0002 Vassilis J. Tsotras Being Happy with the Least: Achieving α-happiness with Minimum Number of Tuples. 1009-1020 2020 ICDE https://doi.org/10.1109/ICDE48307.2020.00092 conf/icde/2020 db/conf/icde/icde2020.html#XieW0T20 Peng Peng 0002 Raymond Chi-Wing Wong Skyline Queries and Pareto Optimality. 2018 Encyclopedia of Database Systems (2nd ed.) https://doi.org/10.1007/978-1-4614-8265-9_80684 reference/db/2018 db/reference/db/s2.html#0002W18 Peng Peng 0002 Raymond Chi-Wing Wong k-Hit Query: Top-k Query with Probabilistic Utility Function. 577-592 2015 SIGMOD Conference https://doi.org/10.1145/2723372.2723735 conf/sigmod/2015 db/conf/sigmod/sigmod2015.html#PengW15 Peng Peng 0002 Raymond Chi-Wing Wong Geometry approach for k-regret query. 772-783 2014 ICDE https://doi.org/10.1109/ICDE.2014.6816699 https://doi.ieeecomputersociety.org/10.1109/ICDE.2014.6816699 https://www.wikidata.org/entity/Q57536309 conf/icde/2014 db/conf/icde/icde2014.html#PengW14 Peng Peng 0002 Raymond Chi-Wing Wong Selective Sampling on Probabilistic Data. 28-36 2014 SDM https://doi.org/10.1137/1.9781611973440.4 https://www.wikidata.org/entity/Q57536316 conf/sdm/2014 db/conf/sdm/sdm2014.html#PengW14 Peng Peng 0002 Raymond Chi-Wing Wong Philip S. Yu Learning on Probabilistic Labels. 307-315 2014 SDM https://doi.org/10.1137/1.9781611973440.35 https://www.wikidata.org/entity/Q57536313 conf/sdm/2014 db/conf/sdm/sdm2014.html#PengWY14 Vassilis J. Tsotras Raymond Chi-Wing Wong Min Xie Philip S. Yu