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Symbolic data analysis
Known as:
SDA
Symbolic data analysis (SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are…
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Broader (1)
Computational statistics
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Comparison of the stochastic gradient descent based optimization techniques
Ersan Yazan
,
M. F. Talu
International Artificial Intelligence and Data…
2017
Corpus ID: 6549095
The stochastic gradual descent method (SGD) is a popular optimization technique based on updating each θk parameter in the ∂J…
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2016
2016
Thinking by classes in data science: the symbolic data analysis paradigm
E. Diday
2016
Corpus ID: 63600037
Data Science, considered as a science by itself, is in general terms, the extraction of knowledge from data. Symbolic data…
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Highly Cited
2014
Highly Cited
2014
The Impact of Ownership Structure and Capital Structure on Financial Performance of Vietnamese Firms
D. X. Quang
,
Wu Xin
2014
Corpus ID: 55528189
This article studies the impact of ownership structure and capital structure on firms’ financial performance in context of an…
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2013
2013
Fuzzy Kohonen clustering networks for interval data
C. Almeida
,
R. Souza
,
A. L. Candeias
Neurocomputing
2013
Corpus ID: 8185382
Highly Cited
2011
Highly Cited
2011
Far beyond the classical data models: symbolic data analysis
M. Noirhomme-Fraiture
,
P. Brito
Statistical analysis and data mining
2011
Corpus ID: 17133411
This paper introduces symbolic data analysis, explaining how it extends the classical data models to take into account more…
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2010
2010
Identification of substance in complicated mixture of simulants under the action of THz radiation on the base of SDA (spectral dynamics analysis) method
V. Trofimov
,
S. Varentsova
,
A. Krotkus
,
G. Molis
Security + Defence
2010
Corpus ID: 95627478
The SDA (Spectral Dynamics Analysis) - method (method of THz spectrum dynamics analysis in THz range of frequencies) is used for…
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Highly Cited
2008
Highly Cited
2008
Symbolic Data Analysis and the SODAS Software
E. Diday
,
M. Noirhomme-Fraiture
2008
Corpus ID: 221017620
Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard…
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Highly Cited
2004
Highly Cited
2004
Annealing Techniques For Unsupervised Statistical Language Learning
Noah A. Smith
,
Jason Eisner
Annual Meeting of the Association for…
2004
Corpus ID: 14829769
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe…
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Review
2003
Review
2003
An introduction to symbolic data analysis and the SODAS software
E. Diday
,
F. Esposito
Intelligent Data Analysis
2003
Corpus ID: 17441468
The data descriptions of the units are called "symbolic" when they are more complex than standard ones, due to the fact that they…
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1995
1995
Histograms in symbolic data analysis
F. D. Carvalho
Annals of Operations Research
1995
Corpus ID: 19206567
We propose an extension of the notion of the histogram used for variables to describe a knowledge base where the knowledge is…
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