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pro vyhledávání: '"Herald Kllapi"'
Autor:
Herald Kllapi
Τα νέφη έχουν μετατραπεί σε μια ελκυστική πλατφόρμα για την πολύπλοκη επεξεργασία δεδομένων μεγάλης κλίμακας, ειδικά εξαιτ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4505684675a8740e4fb1633c0459591b
https://doi.org/10.12681/eadd/44646
https://doi.org/10.12681/eadd/44646
Autor:
Yannis Kotidis, Lefteris Stamatogiannakis, Theofilos Mailis, Yannis Ioannidis, Herald Kllapi, Christoforos Svingos
Publikováno v:
IEEE BigData
Big Data applications require real-time processing of complex computations on streaming and static information. Applications such as the diagnosis of power generating turbines require the integration of high velocity streaming and large volume of sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26924d654511a6d647d3b335235ce506
https://doi.org/10.1109/bigdata.2016.7840631
https://doi.org/10.1109/bigdata.2016.7840631
Autor:
Herald Kllapi, Dimitris Bilidas, Ian Horrocks, Yannis Ioannidis, Ernesto Jiménez−Ruiz, Evgeny Kharlamov, Manolis Koubarakis, Dmitriy Zheleznyakov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e08f72cf9a3608d3d5e7d34e6eae076d
https://ora.ox.ac.uk/objects/uuid:8195c6c8-f867-4169-af14-479b94a529a9
https://ora.ox.ac.uk/objects/uuid:8195c6c8-f867-4169-af14-479b94a529a9
Publikováno v:
ICDE
An increasing number of Web applications such as friends recommendation depend on the ability to join objects at scale. The traditional approach taken is nearest neighbor join (also called similarity join), whose goal is to find, based on a given joi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d921d891273d7cb3d03d4ad3ad6d9f6
https://doi.org/10.1109/icde.2014.6816728
https://doi.org/10.1109/icde.2014.6816728
Autor:
Riccardo Rosati, Ahmet Soylu, Rudolf Schlatte, Michael Schmidt, Peter Haase, Martin Giese, Herald Kllapi, Yannis Ioannidis, Özgür Lütfü Özçep, Ralf Möller, Mariano Rodriguez Muro, Maurizio Lenzerini, Manolis Koubarakis, Diego Calvanese, Arild Waaler, Ian Horrocks
Publikováno v:
Big Data Computing ISBN: 9781466578371
• The turnaround time for information requests is in the range of days, possibly weeks, due to the involvement of the IT personnel; 1University of Oslo 2Free University of Bozen-Bolzano 3fluid Operations AG 4Oxford University 5National and Kapodist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8b9a81902e02cb1a13ac3b40e900de4
https://doi.org/10.1201/b16014-14
https://doi.org/10.1201/b16014-14
Autor:
Rudolf Schlatte, Özgür Lütfü Özçep, Ahmet Soylu, Martin Giese, Mariano Rodriguez-Muro, Arild Waaler, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Peter Haase, Ian Horrocks, Dmitriy Zheleznyakov, Herald Kllapi, Dimitris Bilidas, Manolis Koubarakis, Riccardo Rosati, Michael Schmidt
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
ESWC (Satellite Events)
ESWC (Satellite Events)
The recently started EU FP7-funded project Optique will develop an end-to-end OBDA system providing scalable end-user access to industrial Big Data stores. This paper presents an initial architectural specification for the Optique system along with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c666db9c6a54df578f33213319a8559
https://doi.org/10.1007/978-3-642-41242-4_11
https://doi.org/10.1007/978-3-642-41242-4_11
Autor:
Eva Sitaridi, Nikolas Oikonomidis, Manolis M. Tsangaris, Herald Kllapi, Yannis Ioannidis, Omiros Metaxas, Harry Dimitropoulos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642312342
SSDBM
SSDBM
AITION is a scalable, user-friendly, and interactive data mining (DM) platform, designed for analyzing large heterogeneous datasets. Implementing state-of-the-art machine learning algorithms, it successfully utilizes generative Probabilistic Graphica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::275f90526caf73111977491b6d209859
https://doi.org/10.1007/978-3-642-31235-9_51
https://doi.org/10.1007/978-3-642-31235-9_51
Publikováno v:
SIGMOD Conference
Scheduling data processing workflows (dataflows) on the cloud is a very complex and challenging task. It is essentially an optimization problem, very similar to query optimization, that is characteristically different from traditional problems in two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0fe00d6eb86f282746eed0c8f259d8d
https://doi.org/10.1145/1989323.1989355
https://doi.org/10.1145/1989323.1989355
Autor:
Herald Kllapi, Mema Roussopoulos, Alex Delis, Konstantinos Tsakalozos, Eva Sitaridi, Dimitris Paparas
Publikováno v:
ICDE
Modern frameworks, such as Hadoop, combined with abundance of computing resources from the cloud, offer a significant opportunity to address long standing challenges in distributed processing. Infrastructure-as-a-Service clouds reduce the investment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c046623b154a2bd5c40597019632caee
https://doi.org/10.1109/icde.2011.5767932
https://doi.org/10.1109/icde.2011.5767932