Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Nicolas Lachiche"'
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Proteins interact with each other in complex ways to perform significant biological functions. These interactions, known as protein–protein interactions (PPIs), can be depicted as a graph where proteins are nodes and their interactions are
Externí odkaz:
https://doaj.org/article/c5299f8d37334df991170b93170cc3ff
Publikováno v:
IEEE Access, Vol 10, Pp 48603-48614 (2022)
Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have turned to Not only SQL (NoSQL) databases to provide scalability a
Externí odkaz:
https://doaj.org/article/90623138135744e68a6bed56e132978d
Publikováno v:
Informatics, Vol 8, Iss 4, p 68 (2021)
Industry 4.0 is characterized by the availability of sensors to operate the so-called intelligent factory. Predictive maintenance, in particular, failure prediction, is an important issue to cut the costs associated with production breaks. We studied
Externí odkaz:
https://doaj.org/article/226a58cb9e5040fdac9f13ffc681b5e1
Autor:
Lidia Contreras-Ochando, Meelis Kull, José Hernández-Orallo, Cèsar Ferri, María José Ramírez-Quintana, Nicolas Lachiche, Fernando Martínez-Plumed, Peter A. Flach
Publikováno v:
Martínez-Plumed, F, Contreras-Ochando, L, Ferri, C, Hernandez-Orallo, J, Kull, M, Lachiche, N J A H, Ramírez-Quintana, M J & Flach, P A 2019, ' CRISP-DM Twenty Years Later : From Data Mining Processes to Data Science Trajectories ', IEEE Transactions on Knowledge and Data Engineering . https://doi.org/10.1109/TKDE.2019.2962680
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering, 2021, 33 (8), ⟨10.1109/TKDE.2019.2962680⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering, 2021, 33 (8), ⟨10.1109/TKDE.2019.2962680⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second half of the nineties and is thus about two decades old. According to many surveys and user polls it is still thede factostandard for developing data mining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8add3d861ae9eac3cc250c463be60a3
https://doi.org/10.1109/tkde.2019.2962680
https://doi.org/10.1109/tkde.2019.2962680
Publikováno v:
2021 IEEE International Conference on Cluster Computing (CLUSTER)
CLUSTER
CLUSTER
Applications running on HPC systems waste time and energy if they: (a) use resources inefficiently, (b) deviate from allocation purpose (e.g. cryptocurrency mining), or (c) encounter errors and failures. It is important to know which applications are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::827777da23d3b66523c8e19636ec764b
Publikováno v:
Machine Learning
Machine Learning, 2019, 108 (7), pp.1057-1059. ⟨10.1007/s10994-019-05790-6⟩
Machine Learning, 2019, 108 (7), pp.1057-1059. ⟨10.1007/s10994-019-05790-6⟩
Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Programming, based on logic as a uniform representation language for expressing examples, background knowledge and hypotheses.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54cc886989490b94ec54e3e1e4674191
https://hal.science/hal-03701326
https://hal.science/hal-03701326
Publikováno v:
Machine Learning
Machine Learning, 2019, 108 (2), pp.229-266. ⟨10.1007/s10994-018-5746-9⟩
Machine Learning, 2019, 108 (2), pp.229-266. ⟨10.1007/s10994-018-5746-9⟩
Companies want to extract value from their relational databases. This is the aim of relational data mining. Propositionalization is one possible approach to relational data mining. Propositionalization adds new attributes, called features, to the mai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2806379eefefc680fb320f0f61f224ae
https://hal.science/hal-03763874
https://hal.science/hal-03763874
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 51:60-73
Vegetation monitoring is becoming a major issue in the urban environment due to the services they procure and necessitates an accurate and up to date mapping. Very High Resolution satellite images enable a detailed mapping of the urban tree and herba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c81d29e9fd6ef604898e094431c36ce3
https://doi.org/10.1016/j.jag.2016.04.005
https://doi.org/10.1016/j.jag.2016.04.005
Autor:
Nicolas Lachiche, Christel Vrain
This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017. The 12 full papers presented were carefully reviewed
Publikováno v:
Expert Systems with Applications. 42:7698-7709
Our approach can handle thresholds on attributes and on the number of objects.Tackling numeric attributes with both absolute and relative numbers efficiently.Selecting the optimal combination of propositionalizer and classifier effectively.The propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::980ff2eb3c2ca50986c0d5be83011719
https://doi.org/10.1016/j.eswa.2015.05.053
https://doi.org/10.1016/j.eswa.2015.05.053