John Castellani
Biographic Data
| ID | 282572 |
|---|---|
| NAME | John Castellani |
| GIVEN NAMES | John |
| FAMILY NAME | Castellani |
| SIGNATURE | CASTELLANI J |
| AFFILIATIONS | Johns Hopkins University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| 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…
Grounded Neural Networking: Modeling Complex Quantitative Data
The latest advances in artificial intelligence software (neural networking) have finally made it possible for qualitative researchers to apply the grounded theory method to the study of complex quantitative databases in a manner consistent with the postpositivistic, neopragmatic assumptions of most symbolic interactionists. The strength of neural networking for the study of quantitative data is twofold: it blurs the boundaries between qualitative…
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…
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…
Grounded Neural Networking: Modeling Complex Quantitative Data
The latest advances in artificial intelligence software (neural networking) have finally made it possible for qualitative researchers to apply the grounded theory method to the study of complex quantitative databases in a manner consistent with the postpositivistic, neopragmatic assumptions of most symbolic interactionists. The strength of neural networking for the study of quantitative data is twofold: it blurs the boundaries between qualitative…
Action Observation and Synchronization (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare (1 works) · Artificial neural network (1 works) · Computer Science (1 works) · Data science (1 works) · Grounded theory (1 works) · Library science (1 works) · Machine learning (1 works) · Management science (1 works)