Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Evolutionary data mining"'
Akademický článek
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Publikováno v:
Journal of Civil Engineering and Construction. 9:14-23
In recent years, data mining technology has been employed to solve various Structural Health Monitoring (SHM) problems as a comprehensive strategy because of its computational capability. Optimization is one the most important functions in Data minin
Publikováno v:
Engineering with Computers. 37:437-447
By assist of novel evolutionary science, the classification accuracy of neural computing is improved in analyzing the bearing capacity of footings over two-layer foundation soils. To this end, Harris hawks optimization (HHO) and dragonfly algorithm (
Publikováno v:
GECCO
Decision trees (DTs) are popular techniques in the field of eXplainable Artificial Intelligence. Despite their effectiveness in solving various classification problems, they are not compatible with modern biological data generated with high-throughpu
Publikováno v:
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making
Inès Saad; Camille Rosenthal-Sabroux; Faiez Gargouri; Pierre-Emmanuel Arduin. Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making, 425, Springer International Publishing, pp.85-99, 2021, Lecture Notes in Business Information Processing, 978-3-030-85976-3. ⟨10.1007/978-3-030-85977-0_7⟩
Lecture Notes in Business Information Processing ISBN: 9783030859763
ICIKS
Inès Saad; Camille Rosenthal-Sabroux; Faiez Gargouri; Pierre-Emmanuel Arduin. Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making, 425, Springer International Publishing, pp.85-99, 2021, Lecture Notes in Business Information Processing, 978-3-030-85976-3. ⟨10.1007/978-3-030-85977-0_7⟩
Lecture Notes in Business Information Processing ISBN: 9783030859763
ICIKS
International audience; Improving decisions by better mining the available data in an Information System is a common goal in many decision making environments. However, the complexity and the large size of the collected data in modern systems make th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7ebc469ab31f1b1cb0d164ec9ced487
Akademický článek
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Publikováno v:
Parallel Problem Solving from Nature – PPSN XVI ISBN: 9783030581145
PPSN (2)
PPSN (2)
Relative Expression Analysis (RXA) plays an important role in biomarker discovery and disease prediction from gene expression profiles. It deliberately ignores raw data values and investigates only the relative ordering relationships between a small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9514a20d9d16be1e660e7e6b3394c143
https://doi.org/10.1007/978-3-030-58115-2_26
https://doi.org/10.1007/978-3-030-58115-2_26
Publikováno v:
GECCO (Companion)
This paper identifies scalability bounds of the evolutionary induced decision trees (DT)s. In order to conquer the barriers concerning the large-scale data we propose a novel multi-GPU approach. It incorporates the knowledge of the global DT inductio
Autor:
Marcin Czajkowski, Marek Kretowski
Publikováno v:
GECCO
Relative Expression Analysis (RXA) focuses on finding interactions among a small group of genes and studies the relative ordering of their expression rather than their raw values. Algorithms based on that idea play an important role in biomarker disc
Akademický článek
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