Results 21 to 30 of about 685,496 (293)

Improving symbolic data visualization for pattern recognition and knowledge discovery

open access: yesVisual Informatics, 2020
This paper examines the visualization of symbolic data and considers the challenges rising from its complex structure. Symbolic data is usually aggregated from large data sets and used to hide entry specific details and to transform huge amounts of data (
Kadri Umbleja   +2 more
doaj   +1 more source

Symbolic Entropy Analysis and Its Applications

open access: yesEntropy, 2018
This editorial explains the scope of the special issue and provides a thematic introduction to the contributed papers.
Raúl Alcaraz
doaj   +1 more source

Symbolic Violence In Educational Institutions in Indonesia; Case Study of Private High School in Padang City, West Sumatera

open access: yesIndonesian Journal of Religion and Society, 2022
This research is motivated by many occurrences of symbolic violence in educational institutions, especially in Private Schools of Padang. Symbolic violence that is often found in schools in the form of speech or words that can cause mental damage to ...
Yenni Melia
doaj   +1 more source

Symbolic Algorithms for Language Equivalence and Kleene Algebra with Tests [PDF]

open access: yes, 2014
We first propose algorithms for checking language equivalence of finite automata over a large alphabet. We use symbolic automata, where the transition function is compactly represented using a (multi-terminal) binary decision diagrams (BDD). The key idea
Bouajjani A.   +10 more
core   +5 more sources

Symbolic Violence Teachers Experience at Schools

open access: yesJournal of Economy Culture and Society, 2021
The aim of this study is, first, to find out whether teachers are exposed to instances of invisible symbolic violence at school, especially in their relations with school principals, and second, if such violence exists,
Süleyman Yıldız   +2 more
doaj   +3 more sources

Extracting Information from Interval Data Using Symbolic Principal Component Analysis

open access: yesAustrian Journal of Statistics, 2017
We introduce generic definitions of symbolic variance and covariance for random interval-valued variables, that lead to a unified and insightful interpretation of four known symbolic principal component estimation methods: CPCA, VPCA, CIPCA, and ...
M. R. Oliveira   +4 more
doaj   +1 more source

Assessment of the Development of the European Oecd Countries with the Application of Linear Ordering and Ensemble Clustering of Symbolic Data

open access: yesFolia Oeconomica Stetinensia, 2019
The research background of the paper covers the development of a country, that can be measured in various ways. Simple indicators, like GDP and also complex indicators such as HDI (human development index), can be used to measure country development ...
Pełka Marcin
doaj   +1 more source

Fuzzy-Symbolic Analysis for Classification of Symbolic Data [PDF]

open access: yes, 2005
A recent study on symbolic data analysis literature reveals that symbolic distance measures are playing a major role in solving the pattern recognition and analysis problems. After a careful study on the existing symbolic distance measures, we have identified that most of the existing symbolic distance measures either suffer from generalization or do ...
M. S. Dinesh   +2 more
openaire   +1 more source

A Survey of New Trends in Symbolic Execution for Software Testing and Analysis [PDF]

open access: yes, 2009
Symbolic execution is a well-known program analysis technique which represents values of program inputs with symbolic values instead of concrete (initialized) data and executes the program by manipulating program expressions involving the symbolic values.
Pasareanu, Corina S., Visser, Willem
core   +2 more sources

A Novel Feature Representation and Clustering for Histogram-Valued Data

open access: yesMathematics
In an era where large-scale data are produced and collected rapidly, great interest is attributed to symbolic data analysis in order to explore connotative and significant information from massive data.
Qing Zhao, Huiwen Wang
doaj   +1 more source

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