Learning rule sets from survival data-Reference-Cited by-同舟云学术

Learning rule sets from survival data

Published:2017-05-30 Issue:1 Volume:18 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Wróbel Łukasz,Gudyś Adam,Sikora Marek

Funder

Narodowe Centrum Badan i Rozwoju (PL)

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-017-1693-x.pdf

Reference72 articles.

1. Kalbfleisch JD, Prentice RL, Vol. 360. The Statistical Analysis of Failure Time Data. Hoboken: John Wiley & Sons; 2011.

2. Cox DR. Regression models and life-tables. J R Stat Soc Series B (Methodological). 1972; 34(2):187–220.

3. Holmes G, Hall M, Frank E. Generating Rule Sets from Model Trees In: Foo N, editor. Advanced Topics in Artificial Intelligence. LNCS. Berlin Heidelberg: Springer: 1999. p. 1–12.

4. Janssen F, Fürnkranz J. Heuristic Rule-Based Regression via Dynamic Reduction to Classification In: Walsh T, editor. IJCAI-11. Menlo Park: AAAI Press: 2011. p. 1330–5.

5. Sikora M, Skowron A, Wróbel L. Rule quality measure-based induction of unordered sets of regression rules In: Ramsay A, Agre G, editors. Artificial Intelligence: Methodology, Systems, and Applications. LNCS. Berlin Heidelberg: Springer: 2012. p. 162–71.

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