Demo Data from EDBT 2026 / reviewers in the wild / expert
Robert C. James
dblp:31/1202
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › predictive modeling › classification
ensemble learning |
0.1 | 1 | 2005 | CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection · ICDM 2005 |
Medical and health informatics › clinical diagnosis
diabetes detection |
0.0 | 1 | 2005 | CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection · ICDM 2005 |
Methods — techniques the papers use, named apart from their topics
multiple data mining algorithms · 0.1hybrid knowledge discovery · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes DetectionabstractWe present CoLe, a cooperative data mining approach for discovering hybrid knowledge. It employs multiple different data mining algorithms, and combines results from them to enhance the mined knowledge. For our medical application area, we analyse several focusing strategies that allowed us to gain medically significant results. Jie Gao 0019, Jörg Denzinger, Robert C. James |
ICDM | 3 |