Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Book

Download BibTeX

Title

Rough Sets and Intelligent Systems Paradigms : Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014 : proceedings

Editors

Year of publication

2014

Book type

conference proceedings

Publication language

english

Place

Cham, Switzerland

Publisher name

Springer International Publishing

Publisher name from the Ministry list

Springer

Date of publication

2014

Number of pages

408

ISBN

978-3-319-08728-3

eISBN

978-3-319-08729-0

DOI

10.1007/978-3-319-08729-0

URL

https://link.springer.com/book/10.1007/978-3-319-08729-0

Published in

Book series: Lecture Notes in Computer Science | Book subseries: Lecture Notes in Artificial Intelligence

Number in series

vol. 8537

Chapters
The Impact of Local Data Characteristics on Learning from Imbalanced Data (p. 1-13)
Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty (p. 77-87)
A Rough Set Approach to Novel Compounds Activity Prediction Based on Surface Active Properties and Molecular Descriptors (p. 153-160)
Conference

2nd International Conference on Rough Sets and Emerging Intelligent Systems Paradigms (RSEISP) held as part of Joint Rough Set Symposium (JRS), 9-13.07.2014, Granada, Spain, Madrid, Spain

Publication indexed in

WoS (15)

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.