Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Dionysios Logothetis"'
Publikováno v:
Proceedings of the VLDB Endowment. 9:672-683
In this paper, we leverage the concept of the metric backbone to improve the efficiency of large-scale graph analytics. The metric backbone is the minimum subgraph that preserves the shortest paths of a weighted graph. We use the metric backbone in p
Publikováno v:
ICDCS
Synthetic graph generators facilitate research in graph algorithms and graph processing systems by providing access to graphs that resemble real social networks while addressing privacy and security concerns. Nevertheless, their practical value lies
Publikováno v:
Proceedings of the VLDB Endowment. 8:1804-1815
Analyzing large graphs provides valuable insights for social networking and web companies in content ranking and recommendations. While numerous graph processing systems have been developed and evaluated on available benchmark graphs of up to 6.6B ed
Autor:
Georgios L. Theodorou, Fotini Fligou, Evangelos D. Anastassiou, Dionysios Logothetis, Markos Marangos, Matthaios Papadimitriou-Olivgeris, Konstantinos Zisimopoulos, Marina Karakantza, Iris Spiliopoulou, Kalliopi Lekka
Publikováno v:
Diagnostic Microbiology and Infectious Disease. 82:234-239
Intensive care unit patients who developed systemic inflammatory response syndrome (SIRS) with proven microbial etiology were assigned to the infectious causes (n = 29), while patients with negative cultures and more probable other etiology were assi
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation's Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social m
Autor:
Kenneth Yocum, Dionysios Logothetis
Publikováno v:
Proceedings of the VLDB Endowment. 1:1472-1475
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, where storage and CPU are outsourced to multiple third-parties across t
Autor:
Kenneth Yocum, Dionysios Logothetis, Emiran Curtmola, Alin Deutsch, Divesh Srivastava, Kadangode K. Ramakrishnan
Publikováno v:
Proceedings of the VLDB Endowment. 1:1448-1451
We describe XTreeNet, a distributed query dissemination engine which facilitates democratization of publishing and efficient data search among members of online communities with powerful full-text queries. This demonstration shows XTreeNet in full ac
Publikováno v:
Practical Graph Analytics with Apache Giraph ISBN: 9781484212523
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98268991c01d64ce5755e870c83bde2f
https://doi.org/10.1007/978-1-4842-1251-6_7
https://doi.org/10.1007/978-1-4842-1251-6_7
Publikováno v:
Practical Graph Analytics with Apache Giraph ISBN: 9781484212523
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9f59fbcd588d7250b28a7748090fd4e
https://doi.org/10.1007/978-1-4842-1251-6_9
https://doi.org/10.1007/978-1-4842-1251-6_9
Publikováno v:
Practical Graph Analytics with Apache Giraph ISBN: 9781484212523
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa0ec6472632ece899c8ad167547c4ec
https://doi.org/10.1007/978-1-4842-1251-6_4
https://doi.org/10.1007/978-1-4842-1251-6_4