Name
Abstract | ||
|---|---|---|
Societal problems and industrial problems, if they are to be studied analytically, will require two broad components: first, a structure or model to analyze the interaction of the variables; and second, a large scale data base. The data base may be used in various ways, such as validation of the model's parameters, input data for actual runs of the model, and simply providing the data itself for other interests. While the ability to devise meaningful models with appropriate supporting data is of primary importance for the advancement of our capacity to serve societal and industrial needs, the possibility of integrating the data base handling techniques with techniques of simulation and optimization will greatly facilitate this work. |
Year | DOI | Venue |
|---|---|---|
1973 | 10.1145/1499586.1499660 | AFIPS National Computer Conference |
Keywords | Field | DocType |
meaningful model,input data,data base,industrial need,large scale data base,generalized data,industrial problem,actual run,societal problem,data base handling technique,appropriate supporting data | Data mining,Industrial engineering,Computer science,Theoretical computer science | Conference |
Citations | PageRank | References |
3 | 4.27 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. F. Nunamaker, Jr. | 1 | 171 | 54.73 |
| D. E. Swenson | 2 | 3 | 4.27 |
| A. B. Whinston | 3 | 75 | 38.32 |