Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Dominique Bouthinon"'
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-33 (2019)
Abstract Local pattern mining on attributed networks is an important and interesting research area combining ideas from network analysis and data mining. In particular, local patterns on attributed networks allow both the characterization in terms of
Externí odkaz:
https://doaj.org/article/ee8bc22c49a24389ac8ed2217c2a6ab4
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-26 (2019)
Abstract Applying closed pattern mining to attributed two-mode networks requires two conditions. First, as in two-mode networks there are two kinds of vertices, each described with a proper attribute set, we have to consider patterns made of two comp
Externí odkaz:
https://doaj.org/article/cd5a6ec5a65e4d579137a4454631ef8f
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-33 (2019)
Local pattern mining on attributed networks is an important and interesting research area combining ideas from network analysis and data mining. In particular, local patterns on attributed networks allow both the characterization in terms of their st
Publikováno v:
Complex Networks and Their Applications VIII ISBN: 9783030366827
COMPLEX NETWORKS (2)
COMPLEX NETWORKS (2)
Pattern mining exhaustively enumerates patterns that occur in some structured dataset and each satisfy some constraints. To avoid redundancy and reduce the set of patterns resulting from the enumeration, it is necessary to go beyond the individual se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01bf8ddd7dbb64bba34736b301ffba12
https://doi.org/10.1007/978-3-030-36683-4_19
https://doi.org/10.1007/978-3-030-36683-4_19
Autor:
Ross D. King, Jacek Grzebyta, Martin Carpenter, Jan Ramon, Henry Soldano, Céline Rouveirol, Guillaume Santini, Anthony Coutant, Katherine Roper, Larisa N. Soldatova, Daniel Trejo-Banos, Dominique Bouthinon, Mohamed Elati
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, 2019, 116 (36), pp.18142-18147. ⟨10.1073/pnas.1900548116⟩
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2019, 116 (36), pp.18142-18147. ⟨10.1073/pnas.1900548116⟩
Coutant, A, Roper, K, Trejo-Banos, D, Bouthinon, D, Carpenter, M, Grzebyta, J, Santini, G, Soldano, H, Ramon, J, Elati, M, Rouveirol, C, Soldatova, L N & King, R D 2019, ' Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast ', Proceedings of the National Academy of Sciences . https://doi.org/10.1073/pnas.1900548116
Proceedings of the National Academy of Sciences of the United States of America, 2019, 116 (36), pp.18142-18147. ⟨10.1073/pnas.1900548116⟩
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2019, 116 (36), pp.18142-18147. ⟨10.1073/pnas.1900548116⟩
Coutant, A, Roper, K, Trejo-Banos, D, Bouthinon, D, Carpenter, M, Grzebyta, J, Santini, G, Soldano, H, Ramon, J, Elati, M, Rouveirol, C, Soldatova, L N & King, R D 2019, ' Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast ', Proceedings of the National Academy of Sciences . https://doi.org/10.1073/pnas.1900548116
Significance Systems biology involves the development of large computational models of biological systems. The radical improvement of systems biology models will necessarily involve the automation of model improvement cycles. We present here a genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41354083455acea5896fd0c405eca5fd
https://bura.brunel.ac.uk/handle/2438/24216
https://bura.brunel.ac.uk/handle/2438/24216
Publikováno v:
Revue d'intelligence artificielle. 30:441-468
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030054106
COMPLEX NETWORKS (1)
COMPLEX NETWORKS (1)
We propose and experiment a new edge decomposition scheme called stratification. It relies on the notion of core subgraphs and may be used with various core definitions, including two-parameters core definitions when exploring two-mode networks. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c34eb703cb2744322555fbfe7f5a5c8
https://doi.org/10.1007/978-3-030-05411-3_11
https://doi.org/10.1007/978-3-030-05411-3_11
Publikováno v:
ICDM Workshops
Proceedings 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
Proceedings 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
Local pattern mining on attributed graphs is an important and interesting research area combining ideas from network analysis and graph mining. In this paper, we present MinerLSD, a method for efficient local pattern mining on attributed graphs. In o
Publikováno v:
WWW (Companion Volume)
Companion of the The Web Conference 2018
Companion of the The Web Conference 2018, Apr 2018, Lyon, France. pp.1287-1294, ⟨10.1145/3184558.3191568⟩
Companion of the The Web Conference 2018
Companion of the The Web Conference 2018, Apr 2018, Lyon, France. pp.1287-1294, ⟨10.1145/3184558.3191568⟩
In two-mode networks there are two kinds of vertices, i.e objects, each being possibly described with a proper attribute set. This means that to select a subnetwork according to vertex descriptions we have to consider a pair of vertex subsets. A comm
Publikováno v:
ICTAI
We first define and experiment the hub-authority core (or HA-core) of a directed network. It depends on two a and h parameters expressing requirements on hub and authority degrees which have to be fulfilled within the core. The definition of these in