Name
Abstract | ||
|---|---|---|
Abstract: This paper presents an overview of the motivation for, and the use of time-series data miningin, a Geospatial Decision Support System (GDSS). Our approach is based on a combination oftime-series data mining algorithms and spatial interpolation techniques. The initial focus ofthe system is to facilitate drought risk management. We develop two association rule miningalgorithms and two interpolation methods, which help drought experts predict local weatherconditions or potential yield... |
Year | Venue | Keywords |
|---|---|---|
2003 | DG.O | decision support,spatial interpolation,time series data,association rule,decision support system,risk management |
Field | DocType | Citations |
Geospatial analysis,Data science,Data mining,Decision tree,Time series data mining,Computer science,Decision support system,Decision tree learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dan Li | 1 | 77 | 24.31 |
| Sherri K. Harms | 2 | 191 | 13.68 |
| Steve Goddard | 3 | 653 | 44.90 |
| William J. Waltman | 4 | 47 | 3.44 |
| Jitender S. Deogun | 5 | 1231 | 250.79 |