Demo Data from EDBT 2026 / reviewers in the wild / expert
Sonny Han Seng Chee
dblp:15/2784
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-author
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% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › pattern mining
association rule mining |
0.0 | 1 | 1998 | MultiMediaMiner: A System Prototype for Multimedia Data Mining · SIGMOD Conference 1998 |
Data mining
clustering |
0.0 | 1 | 1998 | MultiMediaMiner: A System Prototype for Multimedia Data Mining · SIGMOD Conference 1998 |
Data mining › multimodal data mining
multimedia data mining |
0.0 | 1 | 1998 | MultiMediaMiner: A System Prototype for Multimedia Data Mining · SIGMOD Conference 1998 |
Data mining
pattern mining |
0.0 | 1 | 1998 | MultiMediaMiner: A System Prototype for Multimedia Data Mining · SIGMOD Conference 1998 |
Methods — techniques the papers use, named apart from their topics
multidimensional analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | RecTree: An Efficient Collaborative Filtering Method
Sonny Han Seng Chee, Jiawei Han 0001, Ke Wang 0001 |
DaWaK | 1 |
| 1998 | MultiMediaMiner: A System Prototype for Multimedia Data MiningabstractMultimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. A multimedia data mining system prototype, MultiMediaMiner, has been designed and developed. It includes the construction of a multimedia data cube which facilitates multiple dimensional analysis of multimedia data, primarily based on visual content, and the mining of multiple kinds of knowledge, including summarization, comparison, classification, association, and clustering. Osmar R. Zaïane, Jiawei Han 0001, Ze-Nian Li, Sonny Han Seng Chee, Jenny Chiang |
SIGMOD Conference | 4 |