XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA

Master's

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Bibliographic Details
Main Author: XUE CHENGXI
Other Authors: COMPUTER SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2020
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/164844
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1648442021-02-19T09:11:31Z XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA XUE CHENGXI COMPUTER SCIENCE He Bingsheng machine learning system, AutoML, data science Master's MASTER OF SCIENCE (RSH-SOC) 2020-02-29T18:01:28Z 2020-02-29T18:01:28Z 2019-11-27 Thesis XUE CHENGXI (2019-11-27). XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/164844 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic machine learning system, AutoML, data science
spellingShingle machine learning system, AutoML, data science
XUE CHENGXI
XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA
description Master's
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
XUE CHENGXI
format Theses and Dissertations
author XUE CHENGXI
author_sort XUE CHENGXI
title XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA
title_short XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA
title_full XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA
title_fullStr XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA
title_full_unstemmed XTRAML: TOWARDS AN EFFECTIVE AND EFFICIENT AUTOML SYSTEM FOR TEMPORAL RELATIONAL DATA
title_sort xtraml: towards an effective and efficient automl system for temporal relational data
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/164844
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