Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Robert Moskovitch"'
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307136 (2024)
Ensuring stable blood glucose (BG) levels within the norm is crucial for potential long-term health complications prevention when managing a chronic disease like Type 1 diabetes (T1D), as well as body weight. Therefore, accurately forecasting blood s
Externí odkaz:
https://doaj.org/article/2dd502627e364f248f5b71dbfb50dfcd
Publikováno v:
PLoS ONE, Vol 19, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/75337268786d4cfc9ae63816873b43e2
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 4, p 173 (2023)
We propose a new pruning constraint when mining frequent temporal patterns to be used as classification and prediction features, the Semantic Adjacency Criterion [SAC], which filters out temporal patterns that contain potentially semantically contrad
Externí odkaz:
https://doaj.org/article/984b565e9a6e43a2803a2ecbc06ea49b
Publikováno v:
Journal of Artificial Intelligence Research. 76:523-525
The human race is facing one of the most meaningful public health emergencies in the modern era caused by the COVID-19 pandemic. This pandemic introduced various challenges, from lock-downs with significant economic costs to fundamentally altering th
Publikováno v:
Expert Systems with Applications. 226:119974
Autor:
Omer David Harel, Robert Moskovitch
Publikováno v:
Information Sciences. 642:119147
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333736
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef897efde59ced20deb5da63f2db4103
https://doi.org/10.1007/978-3-031-33374-3_19
https://doi.org/10.1007/978-3-031-33374-3_19
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
IEEE Transactions on Network and Service Management. 18:3647-3661
IP Networks serve a variety of connected network entities (NEs) such as personal computers, servers, mobile devices, virtual machines, hosted containers, etc. The growth in the number of NEs and technical considerations has led to a reality where a s
Autor:
Omer David Harel, Robert Moskovitch
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:4098-4105
Using temporal abstraction, various forms of sampled multivariate temporal data can be transformed into a uniform representation of symbolic time intervals, from which Time Intervals Related Patterns (TIRPs) can be then discovered. Hence, mining TIRP