Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Edward Abel"'
Autor:
Nikolaos Konstantinou, Edward Abel, Luigi Bellomarini, Alex Bogatu, Cristina Civili, Endri Irfanie, Martin Koehler, Lacramioara Mazilu, Emanuel Sallinger, Alvaro A. A. Fernandes, Georg Gottlob, John A. Keane, Norman W. Paton
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-32 (2019)
Abstract Background Data scientists spend considerable amounts of time preparing data for analysis. Data preparation is labour intensive because the data scientist typically takes fine grained control over each aspect of each step in the process, mot
Externí odkaz:
https://doaj.org/article/5c4d22d6e26a4c9cb3649b742d929700
Autor:
Alvaro A. A. Fernandes, Norman W. Paton, Martin Koehler, Alex Bogatu, Edward Abel, Leonid Libkin, John A. Keane, Nikolaos Konstantinou, Lacramioara Mazilu, Cristina Civili
Publikováno v:
Koehler, M, Abel, E, Bogatu, A, Civili, C, Mazilu, L, Konstantinou, N, Fernandes, A A A, Keane, J, Libkin, L & Paton, N W 2021, ' Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling ', IEEE Transactions on Big Data, vol. 7, no. 1, pp. 169-186 . https://doi.org/10.1109/TBDATA.2019.2907588
Koehler, M, Abel, E, Bogatu, A, Civili, C, Mazilu, L, Konstantinou, N, Fernandes, A, Keane, J, Libkin, L & Paton, N 2019, ' Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling ', IEEE Transactions on Big Data, vol. 0, no. 0, pp. 1-1 . https://doi.org/10.1109/TBDATA.2019.2907588
Koehler, M, Abel, E, Bogatu, A, Civili, C, Mazilu, L, Konstantinou, N, Fernandes, A, Keane, J, Libkin, L & Paton, N 2019, ' Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling ', IEEE Transactions on Big Data, vol. 0, no. 0, pp. 1-1 . https://doi.org/10.1109/TBDATA.2019.2907588
The process of preparing potentially large and complex data sets for further analysis or manual examination is often called data wrangling. In classical warehousing environments, the steps in such a process are carried out using Extract-Transform-Loa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5072eac55d25f6baf9158a6be185d2d6
https://doi.org/10.1109/tbdata.2019.2907588
https://doi.org/10.1109/tbdata.2019.2907588
Autor:
Edward Abel, Siraj S
Publikováno v:
Europe PubMed Central
During the COVID-19 pandemic, several countries have taken the approach of tiered restrictions which has remained a point of debate due to a lack of transparency. Using the dominance-based rough set approach, we identify patterns in the COVID-19 data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c09ddfe537ea42fd957d20c93466c992
Autor:
SMITH, EDWARD ABEL
Publikováno v:
BBC History Magazine; Jan2024, Vol. 25 Issue 1, p54-56, 3p, 4 Color Photographs
Autor:
Edward Abel Smith
When Nicholas Winton canceled his skiing holiday in favor of going to Prague to visit a friend, little did he know this decision would change the course of thousands of lives, including his own. As millions of Jewish families attempted to flee the gr
Publikováno v:
Abel, E, Galpin, I, Paton, N W & Keane, J A 2020, ' Pairwise comparisons or constrained optimization? A usability evaluation of techniques for eliciting decision priorities ', International Transactions in Operational Research . https://doi.org/10.1111/itor.12907
Decision support methodologies provide notations for expressing and communicating the priorities that inform a decision. Although a substantial literature has explored the theoretical merits of such notations and methodologies, much less work has inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c89279c8dec21b81c57e5ead8944b37
https://doi.org/10.1111/itor.12907
https://doi.org/10.1111/itor.12907
Publikováno v:
Cortes Rios, J C, Paton, N, Fernandes, A, Abel, E & Keane, J 2019, ' Crowd-sourced Targeted Feedback Collection for Multi-Criteria Data Source Selection ', Journal of Data and Information Quality, vol. 11, no. 1 . https://doi.org/10.1145/3284934
A multicriteria data source selection (MCSS) scenario identifies, from a set of candidate data sources, the subset that best meets users’ needs. These needs are expressed using several criteria, which are used to evaluate the candidate data sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c8330e5db344c7154dcf3c2dd42eb75
https://www.research.manchester.ac.uk/portal/en/publications/crowdsourced-targeted-feedback-collection-for-multicriteria-data-source-selection(1a89cd3e-6614-4868-91ad-07661d0630e6).html
https://www.research.manchester.ac.uk/portal/en/publications/crowdsourced-targeted-feedback-collection-for-multicriteria-data-source-selection(1a89cd3e-6614-4868-91ad-07661d0630e6).html
Autor:
Cristina Civili, Alvaro A. A. Fernandes, John A. Keane, Norman W. Paton, Emanuel Sallinger, Nikolaos Konstantinou, Luigi Bellomarini, Georg Gottlob, Lacramioara Mazilu, Endri Irfanie, Edward Abel, Martin Koehler, Alex Bogatu
Publikováno v:
Konstantinou, N, Abel, E, Bellomarini, L, Bogatu, A, Civili, C, Irfanie, E, Koehler, M, Mazilu, L, Sallinger, E, Fernandes, A, Gottlob, G, Keane, J & Paton, N 2019, ' VADA: An Architecture for End User Informed Data Preparation ', Journal of Big Data . https://doi.org/10.1186/s40537-019-0237-9
Journal of Big Data, Vol 6, Iss 1, Pp 1-32 (2019)
Journal of Big Data, Vol 6, Iss 1, Pp 1-32 (2019)
Background: Data scientists spend considerable amounts of time preparing datafor analysis. Data preparation is labour intensive because the data scientisttypically takes fine grained control over each aspect of each step in the process,motivating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fdea2095d78022aa8acf76056bdb3f8
https://doi.org/10.1186/s40537-019-0237-9
https://doi.org/10.1186/s40537-019-0237-9