Zobrazeno 1 - 10
of 3 113
pro vyhledávání: '"Alfredo, Cuzzocrea"'
Publikováno v:
Transactions on Fuzzy Sets and Systems, Vol 3, Iss 2, Pp 142-171 (2024)
Embedded computing systems are very vulnerable to anomalies that can occur during execution of deployed software. Anomalies can be due, for example, to faults, bugs or deadlocks during executions. These anomalies can have very dangerous consequences
Externí odkaz:
https://doaj.org/article/d8c0e4a128e9462285e3fa8bb2ecd095
Autor:
Alfredo Cuzzocrea, Paolo Ciancarini
Publikováno v:
Modelling, Vol 5, Iss 3, Pp 1173-1196 (2024)
This paper presents and delves into the architecture and intricacies of SeDaSOMA, a sophisticated framework supporting Serendipitous, Data-as-a-Service-oriented, Open big data Management and Analytics. SeDaSOMA meticulously addresses the multifaceted
Externí odkaz:
https://doaj.org/article/873f0d1fe170446bb9559960f5422b59
Publikováno v:
Transactions on Fuzzy Sets and Systems, Vol 2, Iss 2, Pp 155-183 (2023)
Cloud-based machine learning tools for enhanced Big Data applications}, where the main idea is that of predicting the ``\emph{next}'' \emph{workload} occurring against the target Cloud infrastructure via an innovative \emph{ensemble-based appro
Externí odkaz:
https://doaj.org/article/64e13fa7d31b4567bc8ea6a41c31d486
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2349 (2024)
Clustering validation is applied to evaluate the quality of classifications. This step is crucial for unsupervised machine learning. A plethora of methods exist for this purpose; however, a common drawback is that statistical inference is not possibl
Externí odkaz:
https://doaj.org/article/4704f7542d564ab7be9f954f362ba0fc
Publikováno v:
IEEE Access, Vol 9, Pp 91741-91753 (2021)
In this paper we describe a scan-matching based registration algorithm for tracking moving objects which falls in the emerging area that predicates the integration between robotics and big data applications. The scan matching approaches track paths o
Externí odkaz:
https://doaj.org/article/0c9566f0d30e4ddeb467f38f1bddfdfb
Autor:
Alfredo Cuzzocrea, Rim Moussa
Publikováno v:
COMPSAC (1)
In this paper, inspired by the well-known Lambda architecture, we introduce a novel approach for effectively and efficiently supporting data warehouse maintenance processes in the context of near real-time OLAP scenarios, making use of so-called big
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54d129cd5d2b06a23b7e3a2153c62987
http://hdl.handle.net/11368/2939043
http://hdl.handle.net/11368/2939043
Publikováno v:
Complexity, Vol 2019 (2019)
Externí odkaz:
https://doaj.org/article/5f0832a8d22f4be7af85ad7b655a9e3e
Publikováno v:
International Journal of Distributed Systems and Technologies. 13:1-21
The problem of representing and querying sensor network readings issues new research challenges, as traditional techniques and architectures used for managing relational and object-oriented databases are not suitable in this context. In this paper, t
Autor:
Animesh Singh Chauhan, Alfredo Cuzzocrea, Lihe Fan, James D. Harvey, Carson K. Leung, Adam G.M. Pazdor, Tianlei Wang
Publikováno v:
Procedia Computer Science. 198:102-111
Publikováno v:
Procedia Computer Science. 198:112-121