06Dec 2021 by DataStories
Data Science Lecture Series, Fall semester, 2021-22

Data Science Lecture Series, Fall semester, 2021-22

News, Upcoming Events
The fall 2021-22 edition of the Data Science lecture series, provided by the Data Science Lab, consists of the following lectures:@ Wed. 8/12/2021, 19:45-20:45: Prof. Athena Vakali (AUTH) - Bot Detection in Online Social Networks@ Mon. 10/1/2022 18:30-19:30: Dr. Nikos Giatrakos (TU Crete) - EasyFlinkCEP: Big Event Data Analytics for Everyone@ Wed. 12/1/2022, 18:30-19:30: Prof. Periklis Andritsos (Univ, Toronto) - An Inside Look at Customer Journey Analytics@ Mon. 21/2/2022, 18:30-19:30: Dr. Foteini Valeonti (UCL & USEUM.org) - Blockchain, NFTs and Culture Free participation via MS Teams (link)
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03Nov 2019 by DataStories
Copernicus Hackathon in Athens 2019

Copernicus Hackathon in Athens 2019

News, Upcoming Events
The Copernicus Hackathon in Athens is back! Friday, November 8, 2019 2:00 PM & Saturday, November 9, 2019, Corallia - Monumental Plaza, Building C (5th Floor), Leoforos Kifisias 44 151 25 Marousi - website - Abstract: Following last year's success, the Copernicus Hackathon returns to Athens for a 2019 edition, on 8-9 November. For one more time the Athens CopHack will give you the chance to meet people that share the same interest with you on the ways Space Technologies can be used to explore a multitude of application fields on Earth. Together with other enthusiastic people you will get free access to Copernicus space data, DIAS services and support from mentors and the option to follow several business and technical workshops. Participation is for free.
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05Dec 2018 by DataStories
Omid Isfahani Alamdari, “Scalable Mining and Processing of Big Trajectory Data in Spark”

Omid Isfahani Alamdari, “Scalable Mining and Processing of Big Trajectory Data in Spark”

Upcoming Events
"Scalable Mining and Processing of Big Trajectory Data in Spark", 11/12/2018, 13:00-14:00, University of Piraeus, Lecture room No. 338 (3rd floor) - personal website - Abstract: Tracking moving objects is now much easier thanks to the developments in positioning devices which are used in Location-Based Services and transportation. The extensive use of LBS applications imposes significant storage and processing challenges to application servers. Traditional data management systems are no longer able to analyze high volumes of trajectory data of individuals and the need for management, querying and mining of such data has opened new research directions in the field of mobility data analytics. Accordingly, most of the recent methods have been developed based on existing big data tools such as Hadoop and Spark. Due to complex properties of trajectory data, designing…
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