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Discovery Science [electronic resource] : 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings / edited by Larisa Soldatova, Joaquin Vanschoren, George Papadopoulos, Michelangelo Ceci.

Contributor(s): Soldatova, Larisa [editor.] | Vanschoren, Joaquin [editor.] | Papadopoulos, George [editor.] | Ceci, Michelangelo [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 11198Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXI, 482 p. 137 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030017712.Subject(s): Artificial intelligence | Data mining | Information storage and retrieval systems | Social sciences -- Data processing | Artificial Intelligence | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Computer Application in Social and Behavioral SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Classification -- Meta-Learning -- Reinforcement Learning -- Streams and Time Series -- Subgroup and Subgraph Discovery -- Text Mining -- Applications.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.
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Classification -- Meta-Learning -- Reinforcement Learning -- Streams and Time Series -- Subgroup and Subgraph Discovery -- Text Mining -- Applications.

This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.

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