Zobrazeno 1 - 10
of 96
pro vyhledávání: '"DAN OLTEANU"'
Publikováno v:
Logical Methods in Computer Science, Vol Volume 19, Issue 3 (2023)
We investigate trade-offs in static and dynamic evaluation of hierarchical queries with arbitrary free variables. In the static setting, the trade-off is between the time to partially compute the query result and the delay needed to enumerate its tup
Externí odkaz:
https://doaj.org/article/f5b4bc587068492db41560436cb4951c
Autor:
Maria Ilie, Tiberiu Sava, Gabriela Cristea, Gabriel Ion, Dan Olteanu, Cristian Mănăilescu, Gabriela Sava
Publikováno v:
Data in Brief, Vol 43, Iss , Pp 108444- (2022)
Anoxic marine sediments at the confluence with large rivers are key archives for monitoring the anthropogenic impact in the environment and asses the carbon sink character of oxygen deprived waters. This data article describes the analysis methodolog
Externí odkaz:
https://doaj.org/article/60ce49eb00e644b2a0ee6fa6ed37ed2d
Autor:
LUMINITA PREOTEASA, DAN OLTEANU, ROBERT BEGY, ANA-MARIA BLEBEA APOSTU, LAURENTIU TUTUIANU, ALFRED VESPREMEANU-STROE
Publikováno v:
Coastal Sediments 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc15fd0d398f1bcc93fbaea1e8485ecd
https://doi.org/10.1142/9789811275135_0165
https://doi.org/10.1142/9789811275135_0165
Publikováno v:
Proc. VLDB Endow.
IFAQ is an intermediate representation and compilation framework for hybrid database and machine learning workloads expressible using iterative programs with functional aggregate queries. We demonstrate IFAQ for several OLAP queries, linear algebra e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9cd558fcdc73859a71d9d00bccc665c
https://doi.org/10.14778/3476311.3476356
https://doi.org/10.14778/3476311.3476356
Publikováno v:
ACM . PODS 2022
Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
Intersection joins over interval data are relevant in spatial and temporal data settings. A set of intervals join if their intersection is non-empty. In case of point intervals, the intersection join becomes the standard equality join. We establish t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5297ac3bca30eeb4889271f487972372
https://doi.org/10.1145/3517804.3524156
https://doi.org/10.1145/3517804.3524156
Publikováno v:
ACM Transactions on Database Systems
Integrated solutions for analytics over relational databases are of great practical importance as they avoid the costly repeated loop data scientists have to deal with on a daily basis: select features from data residing in relational databases using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d34c7873f65383271d993502773cfc50
https://doi.org/10.1145/3375661
https://doi.org/10.1145/3375661
Autor:
Bogdan Dragomir, Irina Zetu, T. Panaite, Ana Maria Simionescu, Otilia Boisteanu, Vlad Victor Costan, Dan Olteanu
Publikováno v:
BULLETIN OF INTEGRATIVE PSYCHIATRY. 84:77-85
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::277ee3964862e5c07fc852120b4c5513
https://doi.org/10.36219/bpi.2020.1.10
https://doi.org/10.36219/bpi.2020.1.10
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data
ACM SIGMOD Conference 2022
ACM SIGMOD Conference 2022
This paper introduces Figaro, an algorithm for computing the upper-triangular matrix in the QR decomposition of the matrix defined by the natural join over a relational database. The QR decomposition lies at the core of many linear algebra techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2d032ed0ac8724eaad0e84ba195f3a0
Publikováno v:
DEBS
Kara, A, Nikolic, M, Olteanu, D & Zhang, H 2021, Machine Learning over Static and Dynamic Relational Data . in Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems . DEBS '21, Virtual Event, Italy, pp. 160--163, The 15th ACM International Conference on Distributed and Event-based Systems, Milan, Italy, 28/06/21 . https://doi.org/10.1145/3465480.3467843
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems
Kara, A, Nikolic, M, Olteanu, D & Zhang, H 2021, Machine Learning over Static and Dynamic Relational Data . in Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems . DEBS '21, Virtual Event, Italy, pp. 160--163, The 15th ACM International Conference on Distributed and Event-based Systems, Milan, Italy, 28/06/21 . https://doi.org/10.1145/3465480.3467843
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems
This tutorial overviews principles behind recent works on training and maintaining machine learning models over relational data, with an emphasis on the exploitation of the relational data structure to improve the runtime performance of the learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::272103909ca13466384779dd41aa41a2
http://arxiv.org/abs/2107.13923
http://arxiv.org/abs/2107.13923
Autor:
Maria Ilie, Tiberiu Sava, Alfred Vespremeanu-Stroe, Octavian G. Duliu, Gabriela Cristea, Gabriel Ion, Dan Olteanu, Aritina Haliuc, Cristian Mănăilescu, Gabriela Sava
Publikováno v:
Quaternary Geochronology. 70:101279
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb4ff977193c2d901c3b7830cb122c0
https://doi.org/10.1016/j.quageo.2022.101279
https://doi.org/10.1016/j.quageo.2022.101279