Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Ziawasch Abedjan"'
Publikováno v:
Datenbank-Spektrum. 22:121-130
Data cleaning is widely acknowledged as an important yet tedious task when dealing with large amounts of data. Thus, there is always a cost-benefit trade-off to consider. In particular, it is important to assess this trade-off when not every data poi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e91f5458900328644488719e6d2eab71
https://doi.org/10.1007/s13222-022-00413-2
https://doi.org/10.1007/s13222-022-00413-2
Autor:
Ziawasch Abedjan
Publikováno v:
it - Information Technology. 64:67-70
Data is being produced at an intractable pace. At the same time, there is an insatiable interest in using such data for use cases that span all imaginable domains, including health, climate, business, and gaming. Beyond the novel socio-technical chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ad8d8cd55836c70bfe97c3a05bb6c88
https://doi.org/10.1515/itit-2021-0048
https://doi.org/10.1515/itit-2021-0048
Publikováno v:
2022 ACM Conference on Fairness, Accountability, and Transparency.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c74f0f73194e6063adcd908bd151549
https://doi.org/10.1145/3531146.3534641
https://doi.org/10.1145/3531146.3534641
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb836f88e8e049f53df0c10548d88b69
https://doi.org/10.1145/3487553.3524218
https://doi.org/10.1145/3487553.3524218
Autor:
Mohammad Mahdavi, Ziawasch Abedjan
Publikováno v:
Proceedings of the VLDB Endowment. 13:1948-1961
Traditional error correction solutions leverage handmaid rules or master data to find the correct values. Both are often amiss in real-world scenarios. Therefore, it is desirable to additionally learn corrections from a limited number of example repa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44d40c61fc63d56712b1adbec33bc40a
https://doi.org/10.14778/3407790.3407801
https://doi.org/10.14778/3407790.3407801
Autor:
Larysa Visengeriyeva, Ziawasch Abedjan
Publikováno v:
Journal of Data and Information Quality. 12:1-30
Real-world datasets often suffer from various data quality problems. Several data cleaning solutions have been proposed so far. However, data cleaning remains a manual and iterative task that requires domain and technical expertise. Exploiting metada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc92931d76c220191df4accbedb69cd
https://doi.org/10.1145/3371925
https://doi.org/10.1145/3371925
Autor:
Mahdi Esmailoghli, Hagen Anuth, Mohammad Mahdavi, Ziawasch Abedjan, Felix Neutatz, Binger Chen
Publikováno v:
Informatik Spektrum. 43:129-136
ZusammenfassungDie Nachfrage nach Data Scientists in den verschiedensten Bereichen der Industrie, Gesellschaft und Forschung stellt Universitäten vor die Frage, in welcher Form eine Data-Science-Ausbildung ermöglicht werden soll. Neben dem traditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28aabd9af13860b874466b45c44ab2e6
https://doi.org/10.1007/s00287-020-01253-8
https://doi.org/10.1007/s00287-020-01253-8
Autor:
Ziawasch Abedjan
Publikováno v:
Encyclopedia of Big Data Technologies ISBN: 9783319639628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f7a7920492084257d49c72b8e958af4
https://doi.org/10.1007/978-3-319-63962-8_8-2
https://doi.org/10.1007/978-3-319-63962-8_8-2
Autor:
Binger Chen, Ziawasch Abedjan
Publikováno v:
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86248dfce06f8790c1c4450549a2c163
https://doi.org/10.1109/ase51524.2021.9678929
https://doi.org/10.1109/ase51524.2021.9678929
Publikováno v:
Jorge Arnulfo Quiané Ruiz
A core operation in data discovery is to find joinable tables for a given table. Real-world tables include both unary and n-ary join keys. However, existing table discovery systems are optimized for unary joins and are ineffective and slow in the exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d049a022000af8ab319b35cc17828e9d
http://arxiv.org/abs/2110.00318
http://arxiv.org/abs/2110.00318