Discovery Science 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Soldatova, Larisa (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vanschoren, Joaquin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Papadopoulos, George (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ceci, Michelangelo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes in Artificial Intelligence ; 11198
• Θέματα: Artificial intelligence.; Data mining.; Information storage and retrieval.; Application software.; Artificial Intelligence.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Computer Appl. in Social and Behavioral Sciences.
• Φυσική περιγραφή: XXI, 482 p. 137 illus. online resource.
• ISBN: 9783030017712
• DOI: 10.1007/978-3-030-01771-2

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.