Return to home page
Searching: Muskingum library catalog
Record 457 of 1046
  Previous Record Previous Item Next Item Next Record
  Reviews, Summaries, etc...
Conference International Conference on Discovery Science (21st : 2018 : Limassol, Cyprus)
Title Discovery science : 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings / Larisa Soldatova, Joaquin Vanschoren, George Papadopoulos, Michelangelo Ceci (eds.).
Imprint Cham, Switzerland : Springer, 2018.

View online
View online
Series Lecture Notes in Artificial Intelligence.
Lecture notes in computer science ; 11198.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 11198.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Science -- Philosophy -- Congresses.
Discoveries in science -- Congresses.
Research -- Automation -- Congresses.
Machine learning -- Congresses.
Data mining -- Congresses.
Alt Name Soldatova, Larisa,
Vanschoren, Joaquin,
Papadopoulos, George,
Ceci, Michelangelo,
Add Title DS 2018
Description 1 online resource (xxi, 482 pages) : illustrations.
Note International conference proceedings.
Includes author index.
Contents Classification -- Meta-Learning -- Reinforcement Learning -- Streams and Time Series -- Subgroup and Subgraph Discovery -- Text Mining -- Applications.
Summary 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.
Note Online resource; title from PDF title page (SpringerLink, viewed October 29, 2018).
ISBN 9783030017712 (electronic bk.)
3030017710 (electronic bk.)
9783030017705 (print)
9783030017729 (print)
ISBN/ISSN 10.1007/978-3-030-01771-2
OCLC # 1059450650