【海韵讲座】2022年第6期-尊龙网平台

 【海韵讲座】2022年第6期-尊龙网平台
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【海韵讲座】2022年第6期- index selection revisited
发布时间:2022年04月19日 16:16 点击:次

报告题目:index selection revisited

主讲人:zhifeng bao (professor of rmit)

时间:20220425日(星期一)10:00-11:30

地点:https://meeting.tencent.com/dm/zsb0yndvvjx0

摘要:

the index selection problem (isp) is one of the central issues in database tuning. given a workload, a dataset, a set of index candidates, and some constraints on indexes to be built (e.g., maximum storage budget or maximum index number), isp aims to select a subset of index candidates to maximise the performance of the workload while meeting the constraints. proposed solutions for isp range from sophisticated multi-step algorithms to approaches that adopt the learning methods. in this talk, we divide these methods into two categories, traditional methods, and learning-based methods. we revisit three typical traditional methods and four recent learning-based solutions.

报告人简介:

zhifeng bao is a professor in the school of computing technologies, rmit university and an honorary senior fellow at the university of melbourne. his research interests include algorithm design with non-trivial theoretical guarantees and high practicality for large-scale data integration, management and analytics, with the mission of making big data truly usable. zhifeng received his phd and bsc (hons) in computer science at nus in 2011 and 2006 (the only winner of the best phd thesis award in school of computing and the recipient of the gold medal awarded by singapore infocomm development authority). zhifeng won the 2021 chris wallace award for outstanding research, awarded by core (the computing research and education association of australasia). he is also a two-time winner of the google faculty research award. currently, he serves the associate editor of pvldb vol16 and sigmod 2023. since 2016 he has been a (senior) pc member of all flagship conferences in three areas (databases, data mining and information retrieval), such as sigmod, vldb, icde, kdd, sigir and wsdm. zhifeng has received five best paper awards such as kdd 2019 best paper award runner-up, and five best paper nominations such as kdd 2018 and icde 2009. at rmit, he co-directs the rmit research centre for information discovery and data analytics and is the head of the big data & database lab.

邀请人:计算机科学与技术系 林琛 教授


主讲人 zhifeng bao 主持人
时间 2022-04-25 10:00:00 报告题目 index selection revisited
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主讲人简介 zhifeng bao is a professor in the school of computing technologies, rmit university and an honorary senior fellow at the university of melbourne. his research interests include algorithm design with non-trivial theoretical guarantees and high practicality for large-scale data integration, management and analytics, with the mission of making big data truly usable. zhifeng received his phd and bsc (hons) in computer science at nus in 2011 and 2006 (the only winner of the best phd thesis award in school of computing and the recipient of the gold medal awarded by singapore infocomm development authority). zhifeng won the 2021 chris wallace award for outstanding research, awarded by core (the computing research and education association of australasia). he is also a two-time winner of the google faculty research award. currently, he serves the associate editor of pvldb vol16 and sigmod 2023. since 2016 he has been a (senior) pc member of all flagship conferences in three areas (databases, data mining and information retrieval), such as sigmod, vldb, icde, kdd, sigir and wsdm. zhifeng has received five best paper awards such as kdd 2019 best paper award runner-up, and five best paper nominations such as kdd 2018 and icde 2009. at rmit, he co-directs the rmit research centre for information discovery and data analytics and is the head of the big data & database lab. 地点 腾讯会议:https://meeting.tencent.com/dm/zsb0yndvvjx0
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