Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Benoit Vuillemin"'
Autor:
Benoit Vuillemin, Frederic Bertrand
Publikováno v:
2022 IEEE International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caea1bf86af2bb8a8341b106a89738b7
https://doi.org/10.1109/icdmw58026.2022.00023
https://doi.org/10.1109/icdmw58026.2022.00023
Autor:
Benoit Vuillemin
Publikováno v:
Artificial Intelligence [cs.AI]. Université de Lyon, 2020. English. ⟨NNT : 2020LYSE1120⟩
Benoit Vuillemin
Benoit Vuillemin
This thesis deals with the subject of Ambient Intelligence, the fusion between Artificial Intelligence and the Internet of Things. The goal of this work is to extract prediction rules from the data provided by connected objects in an environment, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bcca00062e5427cd383b14e33f243b44
https://theses.hal.science/tel-02934428
https://theses.hal.science/tel-02934428
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783030352301
ADMA
ADMA: Advanced Data Mining and Applications
ADMA: Advanced Data Mining and Applications, Nov 2019, Dalian, China
ADMA
ADMA: Advanced Data Mining and Applications
ADMA: Advanced Data Mining and Applications, Nov 2019, Dalian, China
This paper presents TSRuleGrowth, an algorithm for mining partially-ordered rules on a time series. TSRuleGrowth takes principles from the state of the art of transactional rule mining, and applies them to time series. It proposes a new definition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bdec11d7611f8feb33beb9863318ba3
https://doi.org/10.1007/978-3-030-35231-8_9
https://doi.org/10.1007/978-3-030-35231-8_9