Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Duc Thanh Anh Luong"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 30:2408-2420
Database access logs are the starting point for many forms of database administration, from database performance tuning, to security auditing, to benchmark design, and many more. Unfortunately, query logs are also large and unwieldy, and it can be di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48535986ad107e697255cabb590751f1
https://doi.org/10.1109/tkde.2018.2831214
https://doi.org/10.1109/tkde.2018.2831214
Autor:
Duc Thanh Anh Luong1, Dinh Tran1, Pace, Wilson D.2, Dickinson, Miriam2, Vassalotti, Joseph3, Carroll, Jennifer, Withiam-Leitch, Matthew1, Min Yang1, Satchidanand, Nikhil1, Staton, Elizabeth2, Kahn, Linda S.1, Chandola, Varun1, Fox, Chester H.1
Publikováno v:
eGEMS (Generating Evidence & Methods to Improve Patient Outcomes). 2017, Vol. 5 Issue 1, p1-18. 18p.
Publikováno v:
J Healthc Inform Res
Longitudinal disease subtyping is an important problem within the broader scope of computational phenotyping. In this article, we discuss several data-driven unsupervised disease subtyping methods to obtain disease subtypes from longitudinal clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::859a6155f463206135420c5e6796782a
https://europepmc.org/articles/PMC8982754/
https://europepmc.org/articles/PMC8982754/
Autor:
Varun Chandola, Duc Thanh Anh Luong
Publikováno v:
ICHI
We study the behavior of a Time-Aware Long Short-Term Memory Autoencoder, a state-of-the-art method, in the context of learning latent representations from irregularly sampled patient data. We identify a key issue in the way such recurrent neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06d7dc508ed81597c02c972a59206e86
https://doi.org/10.1109/ichi.2019.8904646
https://doi.org/10.1109/ichi.2019.8904646
Autor:
Matthew Withiam-Leitch, Jennifer K. Carroll, Wilson D. Pace, Chester H. Fox, Linda S. Kahn, Miriam Dickinson, Varun Chandola, Duc Thanh Anh Luong, Nikhil Satchidanand, Joseph A. Vassalotti, Elizabeth W. Staton, Min Yang, Dinh Tran
Publikováno v:
eGEMs (Generating Evidence & Methods to improve patient outcomes); Vol 5, No 1 (2017); 9
eGEMs, Vol 5, Iss 1 (2017)
eGEMs, Vol 5, Iss 1 (2017)
Introduction: As chronic kidney disease (CKD) is among the most prevalent chronic diseases in the world with various rate of progression among patients, identifying its phenotypic subtypes is important for improving risk stratification and providing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a68708f399be57ce0a45dbc703e3e5
https://pubmed.ncbi.nlm.nih.gov/29930957
https://pubmed.ncbi.nlm.nih.gov/29930957
Publikováno v:
IEEE BigData
High performance computing (HPC) facilities consist of a large number of interconnected computing units (or nodes) that execute highly complex scientific simulations to support scientific research. Monitoring such facilities, in real-time, is essenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8e002cb6adf17d2b3a2d8ca7f066b06
Akademický článek
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Autor:
Varun Chandola, Duc Thanh Anh Luong
Publikováno v:
ICHI
K-means algorithm has been a workhorse of unsupervised machine learning for many decades, primarily owing to its simplicity and efficiency. The algorithm requires availability of two key operations on the data, first, a distance metric to compare a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46f0cadc96f5c5946a6148e822a0452d
https://doi.org/10.1109/ichi.2017.18
https://doi.org/10.1109/ichi.2017.18
Autor:
Duc Thanh Anh Luong, Ting Xie, Gokhan Kul, Oliver Kennedy, Varun Chandola, Patrick Coonan, Shambhu Upadhyaya
Publikováno v:
WWW (Companion Volume)
Insider threats to databases in the financial sector have become a very serious and pervasive security problem. This paper proposes a framework to analyze access patterns to databases by clustering SQL queries issued to the database. Our system Ettu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f04bbabfec9aeaa95e69a63a770f8d32
https://doi.org/10.1145/2872518.2888608
https://doi.org/10.1145/2872518.2888608