Thinking by classes in data science: the symbolic data analysis paradigm-Reference-Cited by-同舟云学术

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Thinking by classes in data science: the symbolic data analysis paradigm

Published:2016-08-19 Issue:5 Volume:8 Page:172-205
ISSN:1939-5108
Container-title:Wiley Interdisciplinary Reviews: Computational Statistics
language:en
Short-container-title:WIREs Comput Stat

Author:

Diday Edwin¹

Affiliation:

1. CEREMADE; Paris-Dauphine University; Paris France

Publisher

Wiley

Subject

Statistics and Probability

Reference188 articles.

1. Diday E IPMU 2002 2002

2. Classification of wind speed distributions;Emilion;Renew Energy,2011

3. Nakano J 3rd Workshop in Symbolic Data Analysis 2012 http://www.sda-workshop.org/

4. Saporta G Niang N IASC Meeting on Statistics for Data Mining, Learning and Knowledge Extraction (IASC07) 2007

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