Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Dominik Slezak"'
This book is open access under a CC BY 4.0 license.This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world app
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63cea35997d588c60abe301a44a11160
https://doi.org/10.1109/bigdata55660.2022.10020956
https://doi.org/10.1109/bigdata55660.2022.10020956
Autor:
Mateusz Przyborowski, Dominik Slezak
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a147b61d5083ef8834793388c1b359ee
https://doi.org/10.1109/bigdata55660.2022.10020450
https://doi.org/10.1109/bigdata55660.2022.10020450
Autor:
Marcin Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2522d8e26dc3d9f6cb78eae918c54416
https://doi.org/10.1109/bigdata55660.2022.10020599
https://doi.org/10.1109/bigdata55660.2022.10020599
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b36caeea7dd031dab3c06458fe1c27b
https://doi.org/10.1109/bigdata55660.2022.10020950
https://doi.org/10.1109/bigdata55660.2022.10020950
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d69d89f13b2bb0f83853ef8497a815
https://doi.org/10.1109/bigdata52589.2021.9671650
https://doi.org/10.1109/bigdata52589.2021.9671650
This two-volume set LNAI 14839-14840 constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2024, held in Halifax, NS, Canada, during May 17–20, 2024. The 43 full papers included in this book were carefully
Publikováno v:
IEEE BigData
We summarize IEEE Big Data Cup: Predicting Escalations in Customer Support – a data mining competition organized jointly by companies Information Builders and QED Software at the KnowledgePit platform, in the frame of the 2020 IEEE International Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf50cd2b4821c576d2ee1cbecacddc2
https://doi.org/10.1109/bigdata50022.2020.9378024
https://doi.org/10.1109/bigdata50022.2020.9378024
Publikováno v:
IEEE BigData
We present an approach to data and information granulation known from the Infobright Community Edition (ICE) analytical database engine, now reimplemented within the two popular scalable data processing frameworks: Apache Parquet and ROOT. Both of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09674d75e746e136bae67b268863d401
https://doi.org/10.1109/bigdata50022.2020.9378233
https://doi.org/10.1109/bigdata50022.2020.9378233
This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5–8, 2023.The 43 full papers included in this book were carefully reviewed and selected from 83 s