Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fotis Psallidas"'
Autor:
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Publikováno v:
ACM SIGMOD Record. 51:30-37
The recent success of machine learning (ML) has led to an explosive growth of systems and applications built by an ever-growing community of system builders and data science (DS) practitioners. This quickly shifting panorama, however, is challenging
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:842-854
Many Data-Intensive Scalable Computing (DISC) Systems provide easy-to-use functional APIs, and efficient scheduling and execution strategies allowing users to build concise data-parallel programs. In these systems, data transformations are concealed
Publikováno v:
ICDCS
In Data-Intensive Scalable Computing (DISC) Systems, data transformations are concealed by exposed APIs, and intermediate execution moments are masked under dataflow transitions. Consequently, many crucial features and optimizations (e.g., debugging,
Autor:
Mohammad Hossein Namaki, Ashvin Agrawal, Fotis Psallidas, Yinghui Wu, Yiwen Zhu, Avrilia Floratou, Subru Krishnan, Markus Weimer
Publikováno v:
KDD
There has recently been a lot of ongoing research in the areas of fairness, bias and explainability of machine learning (ML) models due to the self-evident or regulatory requirements of various ML applications. We make the following observation: All
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9901fbe44b27ede6f099bde24480458
Autor:
Alex Delis, Spiros Evangelatos, Konstantinos Tsakalozos, Vassilis J. Tsotras, Marcos R. Vieira, Fotis Psallidas
Publikováno v:
The Computer Journal. 59:1363-1382
In high-dimensional data domains, the performance of conventional tree-based access structures is occasionally outperformed by simple sequential scans. To this end, the introduction of approximation-based methods helped speed-up queries by providing
Autor:
Fotis Psallidas, Eugene Wu
Publikováno v:
SIGMOD Conference
Data lineage is a fundamental type of information that describes the relationships between input and output data items in a workflow. As such, an immense amount of data-intensive applications with logic over the input-output relationships can be expr
Autor:
Fotis Psallidas, Eugene Wu
Publikováno v:
HILDA@SIGMOD
We highlight the connections between data provenance and interactive visualizations. To do so, we first incrementally add interactions to a visualization and show how these interactions are readily expressible in terms of provenance. We then describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5bf598eafa9b60e98312a2441b26837
http://arxiv.org/abs/1805.02622
http://arxiv.org/abs/1805.02622
Publikováno v:
SIGMOD Conference
An enterprise information worker is often aware of a few example tuples that should be present in the output of the query. Query discovery systems have been developed to discover project-join queries that contain the given example tuples in their out
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642411533
WISE (2)
WISE (2)
Although the extraction of facts and aggregated information from individual Online Social Networks (OSNs) has been extensively studied in the last few years, cross–social media–content examination has received limited attention. Such content exam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c85069b4d752e761ea629c0986f75ff
https://doi.org/10.1007/978-3-642-41154-0_9
https://doi.org/10.1007/978-3-642-41154-0_9
Autor:
Chapman, Adriane1 (AUTHOR) Adriane.Chapman@soton.ac.uk, Lauro, Luca2 (AUTHOR) luca.lauro@uniroma3.it, Missier, Paolo3 (AUTHOR) paolo.missier@ncl.ac.uk, Torlone, Riccardo4 (AUTHOR) riccardo.torlone@uniroma3.it
Publikováno v:
ACM Transactions on Database Systems. Jun2024, Vol. 49 Issue 2, p1-42. 42p.