Descriptive Summarization
Descriptive Summarization is a systematic method within descriptive statistics that condenses and characterizes the essential features of a dataset through measures of central tendency, dispersion, and distribution shape to provide a clear, concise overview of its inherent patterns and structures.
13
Publications
926
Citations
26
Authors
18
Institutions
Publications per year
2017–2026
3
Parents
13
1–5 of 13
26
1
h-index
London Postgraduate Medical and Dental Education, United Kingdom
1 publications · 83 citations
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 26
18
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
455 citations
Arizona State University
Tempe, United States
1 h-index
1 publications
12 citations
Mexican Social Security Institute
Mexico City, Mexico
1 h-index
3 publications
165 citations
Software Engineering Institute
Pittsburgh, United States
1 h-index
1 publications
83 citations
Grand Valley State University
Allendale, United States
1 h-index
4 publications
80 citations
Central University of Jammu
Jammu, India
1 h-index
2 publications
34 citations

The University of Texas at El Paso
El Paso, United States
1 h-index
1 publications
12 citations

Silesian University of Technology
Gliwice, Poland
1 h-index
1 publications
25 citations
1–8 of 18
2 publications · 32 citations
2
h-index
AERJ · 1 publications · 48 citations
1
h-index
RAM · 1 publications · 55 citations
1
h-index
1 publications · 17 citations
1
h-index
Repository · 1 publications · 10 citations
1
h-index
1–5