Brief overview of symbolic data and analytic issues

DOI10.1002/sam.10115OpenAlexW2140912267MaRDI QIDQ4969757

L. Billard

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10115

zbMATH Keywords

rulesinterval datasymbolic data analysislarge datasetsmulti-modal datacomplex dataaggregated datahistogram datainternal variation

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (12)

Dynamic quantile function models ⋮ Partition of interval-valued observations using regression ⋮ Logistic Regression Models for Aggregated Data ⋮ Principal component analysis for histogram-valued data ⋮ New models for symbolic data analysis ⋮ Copulas and Histogram-Valued Data ⋮ Composite likelihood methods for histogram-valued random variables ⋮ Analysis of dependent data aggregated into intervals ⋮ Self-organizing map for symbolic data ⋮ A conversation with Lynne Billard ⋮ Far beyond the classical data models: symbolic data analysis ⋮ Functional linear models for interval-valued data

Uses Software

• SODAS

Cites Work

• Likelihood functions and some maximum likelihood estimators for symbolic data
• Descriptive statistics for interval-valued observations in the presence of rules
• Maximal and stochastic Galois lattices
• Probabilist, possibilist and belief objects for knowledge analysis
• Symbolic Data Analysis
• Différentiation des capacités et des intégrales de Choquet
• Far beyond the classical data models: symbolic data analysis
• Principal component analysis for interval‐valued observations
• Symbolic Data Analysis and the SODAS Software
• Fuzzy sets
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
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