J W Peltason
Biographic Data
| ID | 5683419 |
|---|---|
| NAME | J W Peltason |
| GIVEN NAMES | J W |
| FAMILY NAME | Peltason |
| SIGNATURE | PELTASON J W |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1949 |
| LATEST PUBLICATION YEAR | 2003 |
| H-INDEX | 1 |
Data Mining: Qualitative Analysis with Health Informatics Data
The new computational algorithms emerging in the data mining literature-in particular, the self-organizing map (SOM) and decision tree analysis (DTA)-offer qualitative researchers a unique set of tools for analyzing health informatics data. The uniqueness of these tools is that although they can be used to find meaningful patterns in large, complex quantitative databases, they are qualitative in orientation. To illustrate the utility of these too…
Appropriate prior review
Fifty-Eight Lonely Men: Southern Federal Judges and School Desegregation
Understanding the Constitution
Data Mining: Qualitative Analysis with Health Informatics Data
The new computational algorithms emerging in the data mining literature-in particular, the self-organizing map (SOM) and decision tree analysis (DTA)-offer qualitative researchers a unique set of tools for analyzing health informatics data. The uniqueness of these tools is that although they can be used to find meaningful patterns in large, complex quantitative databases, they are qualitative in orientation. To illustrate the utility of these too…
Understanding the Constitution
Fifty-Eight Lonely Men: Southern Federal Judges and School Desegregation
Appropriate prior review
Data Mining: Qualitative Analysis with Health Informatics Data
The new computational algorithms emerging in the data mining literature-in particular, the self-organizing map (SOM) and decision tree analysis (DTA)-offer qualitative researchers a unique set of tools for analyzing health informatics data. The uniqueness of these tools is that although they can be used to find meaningful patterns in large, complex quantitative databases, they are qualitative in orientation. To illustrate the utility of these too…
Political science (4 works) · Law (2 works) · American Constitutional Law and Politics (1 works) · Animal testing and alternatives (1 works) · Artificial Intelligence in Healthcare (1 works) · Biotechnology and Related Fields (1 works) · Constitution (1 works) · Criminology (1 works) · Desegregation (1 works) · History (1 works)