Publication:
Advances in Intelligent Data Analysis XVIII
Advances in Intelligent Data Analysis XVIII
dc.contributor.author | Michael R. Berthold, Ad Feelders, Georg Krempl (editors) | |
dc.date.accessioned | 2023-06-15T02:14:08Z | |
dc.date.available | 2023-06-15T02:14:08Z | |
dc.date.issued | 2020 | |
dc.description | DOI: https://doi.org/10.1007/978-3-030-44584-3; License: CC BY; Publisher: Springer | |
dc.description.abstract | This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020.The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation. | |
dc.identifier.doi | https://doi.org/10.1007/978-3-030-44584-3 | |
dc.identifier.isbn | 9783030445843 | |
dc.identifier.uri | http://repository.vlu.edu.vn:443/handle/123456789/5329 | |
dc.language.iso | en | |
dc.subject | Open access | |
dc.subject | data mining | |
dc.subject | learning systemsclassification | |
dc.subject | clustering | |
dc.subject | semantics | |
dc.subject | learning algorithms | |
dc.subject | supervised learning | |
dc.subject | association rules | |
dc.subject | social networks | |
dc.subject | graphic methods | |
dc.subject | neural networks | |
dc.subject | artificial intelligence | |
dc.subject | computer vision | |
dc.subject | correlation analysis | |
dc.subject | databases | |
dc.subject | education | |
dc.subject | engineering | |
dc.subject | graph theory | |
dc.subject | image analysis | |
dc.title | Advances in Intelligent Data Analysis XVIII | |
dc.type | Resource Types::text::book | |
dspace.entity.type | Publication | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |
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