Výsledky vyhledávání - "Esther Galbrun"

Akademický článek

The emergence of modern zoogeographic regions in Asia examined through climate–dental trait association patterns

Autor: Liping Liu, Esther Galbrun, Hui Tang, Anu Kaakinen, Zhongshi Zhang, Zijian Zhang, Indrė Žliobaitė

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)

Abstract The complex and contrasted distribution of terrestrial biota in Asia has been linked to active tectonics and dramatic climatic changes during the Neogene. However, the timings of the emergence of these distributional patterns and the underly

Externí odkaz: https://doaj.org/article/5af785987be4429a8b9a44a302b5601c

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Discovering Useful Compact Sets of Sequential Rules in a Long Sequence

Autor: Erwan Bourrand, Luis Galárraga, Esther Galbrun, Elisa Fromont, Alexandre Termier

Publikováno v: ICTAI 2021-33rd IEEE International Conference on Tools with Artificial Intelligence
ICTAI 2021-33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Virtual, United States. pp.1-5
HAL
International Conference on Tools with Artificial Intelligence (ICTAI)
International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2021, Virtual, United States

We are interested in understanding the underlying generation process for long sequences of symbolic events. To do so, we propose COSSU, an algorithm to mine small and meaningful sets of sequential rules. The rules are selected using an MDL-inspired c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbe47db99ebde207a70d823b78a38bc7
http://arxiv.org/abs/2109.07519

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Redescription mining for analyzing local limiting conditions: A case study on the biogeography of large mammals in China and southern Asia

Autor: Anu Kaakinen, Indre Zliobaite, Hui Tang, Esther Galbrun

Publikováno v: Ecological Informatics
Ecological Informatics, Elsevier, 2021, 63, pp.101314. ⟨10.1016/j.ecoinf.2021.101314⟩

Identifying and understanding limiting conditions is at the centre of ecology and biogeography. Traditionally, associations between climate and occurrences of organisms are inferred from observational data using regression analysis, correlation analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c9a564565c0b64e038ae45ccffcc90b
https://hal.archives-ouvertes.fr/hal-03313138

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The Minimum Description Length Principle for Pattern Mining: A Survey

Autor: Esther Galbrun

This is about the Minimum Description Length (MDL) principle applied to pattern mining. The length of this description is kept to the minimum. Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration, the selection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d827888ef27be9ec25adc5bb5711170

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From sets of good redescriptions to good sets of redescriptions

Autor: Esther Galbrun, Janis Kalofolias, Pauli Miettinen

Publikováno v: ICDM
Knowledge and Information Systems (KAIS)
Knowledge and Information Systems (KAIS), 2018, pp.1-34. ⟨10.1007/s10115-017-1149-7⟩
Proceedings of the 16th IEEE International Conference on Data Mining, ICDM’16
ICDM’16-16th IEEE International Conference on Data Mining
ICDM’16-16th IEEE International Conference on Data Mining, Dec 2016, Barcelona, Spain
Knowledge and Information Systems (KAIS), Springer, 2018, pp.1-34. ⟨10.1007/s10115-017-1149-7⟩

International audience; Redescription mining aims at finding pairs of queries over data variables thatdescribe roughly the same set of observations. These redescriptions can be used to obtaindifferent views on the same set of entities. So far, redesc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b08afe40027696e098d3b7df95c95d
https://doi.org/10.1007/s10115-017-1149-7

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Mining Periodic Patterns with a MDL Criterion

Autor: Esther Galbrun, Alexandre Termier, Nikolaj Tatti, Bruno Crémilleux, Peggy Cellier

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109271
ECML/PKDD (2)
ECML/PKDD 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ECML/PKDD 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland. pp.535-551
ECML/PKDD 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland. pp.535-551, ⟨10.1007/978-3-030-10928-8_32⟩

The quantity of event logs available is increasing rapidly, be they produced by industrial processes, computing systems, or life tracking, for instance. It is thus important to design effective ways to uncover the information they contain. Because ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2430764ed54e27c07b48fb22fb291f7
https://doi.org/10.1007/978-3-030-10928-8_32

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Computational biomes : The ecometrics of large mammal teeth

Autor: Mikael Fortelius, Hui Tang, Indrė Žliobaitė, Esther Galbrun

Publikováno v: Palaeontologia Electronica
Palaeontologia Electronica, Coquina Press, 2018, 21 (21.1.3A), pp.1-31. ⟨10.26879/786⟩
Palaeontologia Electronica, 2018, 21 (21.1.3A), pp.1-31. ⟨10.26879/786⟩

International audience; As organisms are adapted to their environments, assemblages of taxa can be used to describe environments in the present and in the past. Here, we use a data mining method, namely redescription mining, to discover and analyze p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20303aabf0582e78f40753073289ac2f
http://hdl.handle.net/10138/235226

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Mining redescriptions with Siren

Autor: Esther Galbrun, Pauli Miettinen

Publikováno v: ACM Transactions on Knowledge Discovery from Data (TKDD)
ACM Transactions on Knowledge Discovery from Data (TKDD), ACM, 2018, 12 (1), pp.6:1--6:30. ⟨10.1145/3007212⟩
ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, 12 (1), pp.6:1--6:30. ⟨10.1145/3007212⟩

In many areas of science, scientists need to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descriptions. For example, in biology, an important task is to identify th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::809a98d676f74c437e283e60fbb02af0
https://hal.archives-ouvertes.fr/hal-01399213/document

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Elektronická kniha

Redescription Mining

Autor: Esther Galbrun, Pauli Miettinen

This book provides a gentle introduction to redescription mining, a versatile data mining tool that is useful to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descri

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Finding low-tension communities

Autor: Aristides Gionis, Behzad Golshan, Esther Galbrun, Evimaria Terzi

Publikováno v: Proceedings of the 17th SIAM International Conference on Data Mining, SDM'17
Proceedings of the 17th SIAM International Conference on Data Mining, SDM'17, Apr 2017, Houston, TX, United States
Proceedings of the 2017 SIAM International Conference on Data Mining
SDM
Sygma
arXiv.org e-Print Archive

Motivated by applications that arise in online social media and collaboration networks, there has been a lot of work on community-search and team-formation problems. In the former class of problems, the goal is to find a subgraph that satisfies a cer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4592d20089e0bf570490b686f4099f43
https://aaltodoc.aalto.fi/handle/123456789/33877

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