Name
Abstract | ||
|---|---|---|
The SIGKDD'09 Research Track received 537 paper submissions, which were reviewed by a Program Committee of 199 members, and a Senior Program Committee of 22 members. We used techniques from artificial intelligence and data mining to streamline and support this complicated process at three crucial stages: bidding by PC members on papers, assigning papers to reviewers, and calibrating scores obtained from the reviews. In this paper we report on the approaches taken, evaluate how well they worked, and describe some further work done after the conference. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1809400.1809413 | ACM SIGKDD Explorations Newsletter |
Keywords | Field | DocType |
calibrating score,artificial intelligence,complicated process,pc member,paper submission,assigning paper,senior program committee,crucial stage,program committee,novel tool,conference review process,research track,machine learning | Data science,Data mining,Information retrieval,Visualization,Computer science,Visual analytics,Knowledge extraction,Bidding | Journal |
Volume | Issue | Citations |
11 | 2 | 11 |
PageRank | References | Authors |
0.76 | 2 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter A. Flach | 1 | 3457 | 269.66 |
| Sebastian Spiegler | 2 | 67 | 6.30 |
| Bruno Golénia | 3 | 29 | 3.58 |
| Simon Price | 4 | 29 | 4.09 |
| John Guiver | 5 | 482 | 21.48 |
| Ralf Herbrich | 6 | 1660 | 170.61 |
| Thore Graepel | 7 | 4211 | 242.71 |
| Mohammed Javeed Zaki | 8 | 7972 | 536.24 |