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News

  31.08.2017 - "Data Series Management: The Next Challenge" - Seminario

 Martedì 5 settembre 2017, alle ore 12:15, presso l'Aula Anni,
il Prof. Themis Palpanas, Institut Universitaire de France (IUF), terrà un seminario dal titolo:

"Data Series Management: The Next Challenge"

abstract
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There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of sequences, or data series. Examples of such applications come from social media analytics and internet service providers, as well as from a multitude of scientific domains. It is not unusual for these applications to involve numbers of data series in the order of hundreds of millions to billions, which are often times not analyzed in their full detail due to their sheer size.
In this talk, we describe recent efforts in designing techniques for indexing and mining truly massive collections of data series that will enable scientists to easily analyze their data. We discuss novel techniques that adaptively create data series indexes, allowing users to correctly answer queries before the indexing task is finished. We also show how our methods allow mining on datasets that would otherwise be completely untenable, including the first published experiments using one billion data series.
Finally, we present our vision for the future in big sequence management research, including the promising directions in terms of storage, distributed processing, and query benchmarks.


short bio
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Themis Palpanas is a Senior Member of the Institut Universitaire de France (IUF), a distinction that recognizes excellence across academic disciplines, and professor of computer science at the Paris Descartes University (France), where he is director of diNo, the data management group. He received the BS degree from the National Technical University of Athens, Greece, and the MSc and PhD degrees from the University of Toronto, Canada. He has previously held positions at the University of Trento, and at IBM T.J. Watson Research Center, and visited Microsoft Research, and the IBM Almaden Research Center. His interests include problems related to online and offline data management and data analytics, focusing on high-rate streaming data and very large data collections, as well as sentiment analytics and semantic-web engineering. He is the author of nine US patents, three of which have been implemented in world-leading commercial data management products. He is the recipient of three Best Paper awards, and the IBM Shared University Research (SUR) Award. He has served as General co-Chair for VLDB 2013, and Associate Editor for VLDB 2017. He is serving as an Editor in Chief for the BDR Journal, an Associate Editor in the TKDE, and IDA journals, as well as on the Editorial Advisory Board of the IS journal, and the Editorial Board of the TLDKS Journal.

Ref. Prof. Massimio Cafaro