Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Georgios Chatzigeorgakidis"'
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-27 (2018)
Abstract Efficient management and analysis of large volumes of data is a demanding task of increasing scientific and industrial importance, as the ubiquitous generation of information governs more and more aspects of human life. In this article, we i
Externí odkaz:
https://doaj.org/article/6e9c6d44a7a1443d9b21d0d0fbc7215a
Autor:
Georgios Chatzigeorgakidis, Dimitris Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b2b455d11a493c59675221124302a0b
Autor:
Dimitrios Skoutas, Georgios Chatzigeorgakidis, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos
Publikováno v:
SIGSPATIAL/GIS
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geolocated time series, i.e., time series associated with certain locations, abound in many modern applications. In this paper, we consider hybrid queries for retrieving geolocated time series based on filters that combine spatial distance and time s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45ebf564130b79a24a187f7229ef91e1
Publikováno v:
SIGSPATIAL/GIS
Proceedings of the 28th International Conference on Advances in Geographic Information Systems
28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL)
Proceedings of the 28th International Conference on Advances in Geographic Information Systems
28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL)
We present spaTScope, a web application for visual exploration of geolocated time series. Analyzing such data is becoming increasingly important in many domains, such as energy demand management, geomarketing and geosocial networks. spaTScope allows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ad4d425a59e6163eef744ab93c6ee3
https://zenodo.org/record/5882219
https://zenodo.org/record/5882219
Autor:
Themis Palpanas, Dimitrios Skoutas, Kostas Patroumpas, Georgios Chatzigeorgakidis, Spiros Athanasiou, Spiros Skiadopoulos
Publikováno v:
Proceedings of the 16th International Symposium on Spatial and Temporal Databases
SSTD
SSTD
Time series exploration and mining has many applications across several industrial and scientific domains. In this paper, we consider the problem of detecting locally similar pairs and groups, called bundles, over co-evolving time series. These are p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae00ccefb16a3b0f2cc53427e9ab87e3
Autor:
Dimitrios Skoutas, Georgios Chatzigeorgakidis, Spiros Athanasiou, Spiros Skiadopoulos, Kostas Patroumpas
Publikováno v:
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems -SIGSPATIAL '18
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems-SIGSPATIAL 18
SIGSPATIAL/GIS
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems-SIGSPATIAL 18
SIGSPATIAL/GIS
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
A geolocated time series is a sequence of values associated with a geolocation, such as measurements provided by a sensor installed at a certain location. In this paper, we address the problem of hybrid similarity joins over such geolocated time seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7acf02efdcc23219a58e0f50335c762
Autor:
Dimitrios Skoutas, Georgios Chatzigeorgakidis, Spiros Skiadopoulos, Spiros Athanasiou, Kostas Patroumpas
Publikováno v:
SIGSPATIAL/GIS
Time series associated with specific locations, such as visitor check-ins or sensor readings, have increased in size and popularity in several domains. Although several works have focused on efficient time series similarity search, there has been lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16a15a5da51d4652f2c2a710cb0ca476
https://doi.org/10.1145/3139958.3140003
https://doi.org/10.1145/3139958.3140003
Publikováno v:
IEEE BigData
Water management field has concentrated great interest, with the potential to affect the long term well-being, the societal economy and security. In parallel, it imposes specific research challenges which have not been already met, due to the lack of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ac0174f02193e5c24f927897ec06b8
https://doi.org/10.1109/bigdata.2015.7363844
https://doi.org/10.1109/bigdata.2015.7363844
Autor:
Dimitrios Skoutas, Kostas Patroumpas, Georgios Chatzigeorgakidis, Spiros Skiadopoulos, Spiros Athanasiou
Publikováno v:
Big Data Research
Geolocated time series are time series that correspond to specific locations. They can represent, for example, visitor check-ins at certain venues or readings of sensors installed at various places. The amount and significance of such time series hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6baa2cf71b423dd48c09864a46fc0215