Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Deepak S. Turaga"'
Publikováno v:
ICDE Workshops
The continuous, online processing of streaming data generated by smart city settings offers opportunities for richer, data-driven understanding of modern urban life. In this paper, we focus on the application of machine learning for highly localized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8ef976e5161636293ce03bf4c2490e
https://doi.org/10.1109/icdew49219.2020.00-10
https://doi.org/10.1109/icdew49219.2020.00-10
Publikováno v:
ICDM Workshops
In this paper we describe Mimir, a production grade cloud and edge spanning ML framework for Industrial IoT applications. We first describe our infrastructure for optimized capture, streaming and multi-resolution storage of manufacturing data and its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f572ad9e6b66a0c003d07f980450f22
https://doi.org/10.1109/icdmw.2019.00065
https://doi.org/10.1109/icdmw.2019.00065
Autor:
Yuan-Chi Chang, Pratik Agrawal, Rodrigue Ngueyep, Saket Sathe, Edward Vitkin, Deepak S. Turaga, Sarah Kefayati, Long Vu, Gretchen Purcell Jackson, Venkata N. Pavuluri, Yuxiang Zhong, Cao Lingtao
Publikováno v:
Diabetes. 68
Introduction: Hypoglycemia is a potentially life-threatening complication of diabetes that can result in seizures, coma, and death, if left untreated. We have built a machine learning system that can predict occurrences of low glucose events from con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe8b4b9c4e96c827303525a2397c0c9
https://doi.org/10.2337/db19-280-or
https://doi.org/10.2337/db19-280-or
Publikováno v:
Proceedings of the VLDB Endowment. 9:1557-1560
Graphs or networks provide a powerful abstraction to view and analyze relationships among different entities present in a dataset. However, much of the data of interest to analysts and data scientists resides in non-graph forms such as relational dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9bbc59d4d7d5e44d81de519aeb90194
https://doi.org/10.14778/3007263.3007308
https://doi.org/10.14778/3007263.3007308
Autor:
Long Vu, Krishna Chirutha, Yuan-Chi Chang, Pratik Agrawal, Alex Zhong, Deepak S. Turaga, Venkata N. Pavuluri, Boyi Jiang, Amit Singh
Publikováno v:
DSN Workshops
We present the design, implementation, and deployment of an industry-first solution for real-time remote diabetes monitoring at large-scale. Our system delivers live insights to patients, via their mobile phones, regarding the current and future infl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abba2d044067048b681bd349168ffe37
https://doi.org/10.1109/dsn-w.2018.00020
https://doi.org/10.1109/dsn-w.2018.00020
Publikováno v:
KDD
Diabetes is a serious disease affecting a large number of people. Although there is no cure for diabetes, it can be managed. Especially, with advances in sensor technology, lots of data may lead to the improvement of diabetes management, if properly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8a7f82cec86c38d819b2aee9d513f8c
https://doi.org/10.1145/3097983.3098100
https://doi.org/10.1145/3097983.3098100
Publikováno v:
KDD
Outlier detection is the identification of points in a dataset that do not conform to the norm. Outlier detection is highly sensitive to the choice of the detection algorithm and the feature subspace used by the algorithm. Extracting domain-relevant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cad5cc7e895e693405ac192cf2c0529
http://arxiv.org/abs/1705.05986
http://arxiv.org/abs/1705.05986
Publikováno v:
Fog for 5G and IoT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a400032ddbbb008f2fa4e8189926ec7
https://doi.org/10.1002/9781119187202.ch10
https://doi.org/10.1002/9781119187202.ch10
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 41:90-93
BigData analytics require that distributed mining of numerous data streams is performed in real-time. Unique challenges associated with designing such distributed mining systems are: online adaptation to incoming data characteristics, online processi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93831db6bf9bf537e100c48578fb108e
https://doi.org/10.1145/2627534.2627562
https://doi.org/10.1145/2627534.2627562