Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Petros Zerfos"'
Autor:
Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Irene Manotas, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Xuan Hong Dang, David A. Wood, Gregory Bramble, Bei Chen, Peter Kirchner, Horst Samulowitz, Long Vu, Roman Vaculin, Syed Yousaf Shah, Dhaval Patel, Petros Zerfos, Giridhar Ganapavarapu, Wesley M. Gifford
Publikováno v:
SIGMOD Conference
A large number of time series forecasting models including traditional statistical models, machine learning models and more recently deep learning have been proposed in the literature. However, choosing the right model along with good parameter value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::312aa3cbd2a50bb646a0687036094361
http://arxiv.org/abs/2102.12347
http://arxiv.org/abs/2102.12347
Publikováno v:
IJCAI
Multimodal analysis that uses numerical time series and textual corpora as input data sources is becoming a promising approach, especially in the financial industry. However, the main focus of such analysis has been on achieving high prediction accur
Publikováno v:
IEEE Transactions on Services Computing. 9:304-316
The increasing interest of researchers in service oriented architecture (SOA) for wireless sensor networks (WSNs) is opening new unexplored venues in the field of WSNs. In service oriented systems, services are configured and composed of various othe
Publikováno v:
IEEE BigData
Change detection in system behavior and its root cause detection is essential for many large-scale systems such as, manufacturing plants, in order to keep systems running uninterrupted and avoid costly machine breakdown via predictive maintenance. In
Publikováno v:
IEEE BigData
Analysis of legal and contract documents often requires both the discovery of document structure, as well as the accurate identification of important elements such as party (buyer, supplier), nature (obligation, right) and category (warranties, deliv
Dependency analysis of cloud applications for performance monitoring using recurrent neural networks
Publikováno v:
IEEE BigData
Performance monitoring of cloud-native applications that consist of several micro-services involves the analysis of time series data collected from the infrastructure, platform, and application layers of the cloud software stack. The analysis of the
Publikováno v:
IEEE BigData
Automated Ontology Learning systems are nowadays practical and used in a variety of domains. By using these systems, subject matter experts (SMEs) and ontology designers can readily construct very large ontologies consisting of tens of thousands of c
Publikováno v:
IEEE Transactions on Services Computing. 6:560-572
Service modeling and service composition are software architecture paradigms that have been used extensively in web services where there is an abundance of resources. They mainly capture the idea that advanced functionality can be realized by combini
Publikováno v:
Middleware Industry
As spatial data being collected by various industries (e.g., telecommunication, insurance, automotive) is on the increase, indexing and answering queries extremely quickly is necessary. This paper proposes a new mechanism, Mobile PATRICIA-trie (MP-tr