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001-es BibID:	BIBFORM082728
Első szerző:	Aldabbas, Ashraf Khaled Abd Elkareem (informatikus)
Cím:	Complex Event Processing Based Analysis of Cassini-Huygens Interplanetary Dataset / Ashraf ALDabbas, Zoltán Gál
Dátum:	2020
Megjegyzések:	A complex event is an assortment of data observations that chimed to captivating of remarkable patterns in the implicit incident that are captured via the sensing devices. An innovative method is introduced in this research for the purpose of detecting complex events by analysing a huge dataset of images and other metadata that have been collected using remote sensing approach in Cassini-Huygens mission interplanetary expedition. The proposed method is competent to explore a big volume of data that is influenced by the indexed time-series manner using score array and the variation score of the target time intervals via the Weighted Complex Event Level (WCEL), allowing to convert the sensed data and images into spectacular detected events. It has been tested by applying it on all the batches which forming the included dataset and the results showed that almost in every batch there was more than a single complex event, within the 5 analysed phases of the mission, which include: Approach science phase, Extended phase, Extended-Extended phase, Tour, and Tour pre-Huygens phase.
ISBN:	978-3-030-38500-2
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat könyvrészlet Special event detection Extreme event Weighted complex event processing Classification Sensory data Big data Pattern processing
Megjelenés:	Intelligent Computing Paradigm and Cutting-edge Technologies / ed. Lakhmi C. Jain, Sheng-Lung Peng, Basim Alhadidi, Souvik Pal. - p. 51-66. -
További szerzők:	Gál Zoltán (1966-) (informatikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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