Name
Abstract | ||
|---|---|---|
Nonoccurring behaviors (NOBs) refer to those behaviors that should happen but do not take place for some reasons. They are widely seen in online, business, government, health, medical, scientific, and social data and applications. Very limited research has been undertaken to explore such behaviors owing to their invisibility and the significant challenges in analyzing NOBs. This article outlines t... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MIS.2015.105 | IEEE Intelligent Systems |
Keywords | Field | DocType |
Behavioral science,Complexity theory,Analytical models,Intelligent systems,Computational modeling,Economics | Data science,Intelligent decision support system,Computer science,Knowledge management,Behavioural sciences,Analytics,Invisibility,Instrumental and intrinsic value,Government | Journal |
Volume | Issue | ISSN |
30 | 6 | 1541-1672 |
Citations | PageRank | References |
5 | 0.53 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Longbing Cao | 1 | 2212 | 185.04 |
| Philip S. Yu | 2 | 30670 | 3474.16 |
| Vipin Kumar | 3 | 11560 | 934.35 |