Inproceedings3287: Unterschied zwischen den Versionen
Mac (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorNachname=Acosta |ErsterAutorVorname=Maribel }} {{Publikation Author |Rank=2 |Author=Marlene Goncalves }} {{Publikation Auth…“) |
Mac (Diskussion | Beiträge) |
||
| Zeile 16: | Zeile 16: | ||
|Year=2011 | |Year=2011 | ||
|Month=November | |Month=November | ||
| − | |Booktitle= Lecture Notes in Computer Science | + | |Booktitle=Lecture Notes in Computer Science |
|Pages=494-503 | |Pages=494-503 | ||
|Organization=On the Move to Meaningful Internet Systems: OTM 2011 Workshops | |Organization=On the Move to Meaningful Internet Systems: OTM 2011 Workshops | ||
| Zeile 23: | Zeile 23: | ||
}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
| − | |Abstract= | + | |Abstract=Nowadays, climate changes are impacting life on Earth; ecological effects as warming of sea-surface temperatures, catastrophic events as storms or mudslides, and the increase of infectious diseases, are affecting life and development. Unfortunately, experts predict that global temperatures will increase even more during the next years; thus, to decide how to assist possibly affected people, experts require tools that help them to discover potential risky regions based on their weather conditions. We address this problem and propose a tool able to support experts in the discovery of these risky areas. We present CAREY, a federated tool built on top of a weather database, that implements a semi-supervised data mining approach to discover regions with similar weather observations which may characterize micro-climate zones. Additionally, Top-k Skyline techniques have been developed to rank micro-climate areas according to how close they are to a given weather condition of risk. We conducted an initial experimental study as a proof-of-concepts, and the preliminary results suggest that CAREY may provide an effective support for the visualization of potential risky areas. |
| − | + | |ISBN=978-3-642-25125-2 | |
| − | |||
| − | |||
| − | Nowadays, climate changes are impacting life on Earth; ecological effects as warming of sea-surface temperatures, catastrophic events as storms or mudslides, and the increase of infectious diseases, are affecting life and development. Unfortunately, experts predict that global temperatures will increase even more during the next years; thus, to decide how to assist possibly affected people, experts require tools that help them to discover potential risky regions based on their weather conditions. We address this problem and propose a tool able to support experts in the discovery of these risky areas. We present CAREY, a federated tool built on top of a weather database, that implements a semi-supervised data mining approach to discover regions with similar weather observations which may characterize micro-climate zones. Additionally, Top-k Skyline techniques have been developed to rank micro-climate areas according to how close they are to a given weather condition of risk. We conducted an initial experimental study as a proof-of-concepts, and the preliminary results suggest that CAREY may provide an effective support for the visualization of potential risky areas. | ||
| − | |ISBN= 978-3-642-25125-2 | ||
|Link=http://www.springerlink.com/content/ql2gn64016h121w6/ | |Link=http://www.springerlink.com/content/ql2gn64016h121w6/ | ||
|DOI Name=10.1007/978-3-642-25126-9_61 | |DOI Name=10.1007/978-3-642-25126-9_61 | ||
|Forschungsgruppe=Wissensmanagement | |Forschungsgruppe=Wissensmanagement | ||
}} | }} | ||
Aktuelle Version vom 18. Juni 2012, 16:08 Uhr
CAREY: ClimAtological ContRol of EmergencY Regions
CAREY: ClimAtological ContRol of EmergencY Regions
Published: 2011
November
Buchtitel: Lecture Notes in Computer Science
Ausgabe: 7046/2011
Seiten: 494-503
Verlag: Springer
Organisation: On the Move to Meaningful Internet Systems: OTM 2011 Workshops
Nicht-referierte Veröffentlichung
BibTeX
Kurzfassung
Nowadays, climate changes are impacting life on Earth; ecological effects as warming of sea-surface temperatures, catastrophic events as storms or mudslides, and the increase of infectious diseases, are affecting life and development. Unfortunately, experts predict that global temperatures will increase even more during the next years; thus, to decide how to assist possibly affected people, experts require tools that help them to discover potential risky regions based on their weather conditions. We address this problem and propose a tool able to support experts in the discovery of these risky areas. We present CAREY, a federated tool built on top of a weather database, that implements a semi-supervised data mining approach to discover regions with similar weather observations which may characterize micro-climate zones. Additionally, Top-k Skyline techniques have been developed to rank micro-climate areas according to how close they are to a given weather condition of risk. We conducted an initial experimental study as a proof-of-concepts, and the preliminary results suggest that CAREY may provide an effective support for the visualization of potential risky areas.
ISBN: 978-3-642-25125-2
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-642-25126-9_61