Name
Abstract | ||
|---|---|---|
During the last decades, the disciplines of Data Mining and Operations Research have been working mostly independent of each other. However, the increasing complexity of today's applications in areas such as business, medicine, and science requires more and more interaction between both disciplines. On the one hand, several data mining algorithms are based on optimization methods. On the other hand, in several applications the pure Knowledge Discovery in Databases KDD process is not sufficient since it does not take explicitly into account the entire decision process. This report presents future trends in Business Analytics and Optimization discussed at the panel sessions during the workshop on Business Analytics and Optimization BAO'2010. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.3233/IDA-2011-0506 | Intell. Data Anal. |
Keywords | Field | DocType |
operations research,data mining,increasing complexity,entire decision process,business analytics,databases kdd process,future trend,optimization bao,last decade,data mining algorithm | Data science,Artifact-centric business process model,Business analytics,Computer science,Knowledge extraction,Data mining algorithm,Business intelligence,Business process discovery,Analytics,Management science,Reactive search optimization | Journal |
Volume | Issue | ISSN |
15 | 6 | 1088-467X |
Citations | PageRank | References |
3 | 0.44 | 8 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donald E. Brown | 1 | 640 | 188.70 |
| Fazel Famili | 2 | 207 | 18.62 |
| Gerhard Paass | 3 | 1136 | 83.63 |
| Kate Smith-Miles | 4 | 829 | 47.88 |
| Lyn C. Thomas | 5 | 329 | 25.24 |
| Richard Weber | 6 | 730 | 40.62 |
| Ricardo Baeza-Yates | 7 | 6173 | 635.97 |
| Cristián Bravo | 8 | 124 | 10.63 |
| Gaston L'Huillier | 9 | 97 | 8.25 |
| Sebastián Maldonado | 10 | 508 | 32.45 |