Results 21 to 30 of about 685,496 (293)
Improving symbolic data visualization for pattern recognition and knowledge discovery
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
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Symbolic Entropy Analysis and Its Applications
This editorial explains the scope of the special issue and provides a thematic introduction to the contributed papers.
Raúl Alcaraz
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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
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Symbolic Algorithms for Language Equivalence and Kleene Algebra with Tests [PDF]
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
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Symbolic Violence Teachers Experience at Schools
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
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Extracting Information from Interval Data Using Symbolic Principal Component Analysis
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
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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
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Fuzzy-Symbolic Analysis for Classification of Symbolic Data [PDF]
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
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A Survey of New Trends in Symbolic Execution for Software Testing and Analysis [PDF]
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
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A Novel Feature Representation and Clustering for Histogram-Valued Data
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
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