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Sonny Han Seng Chee

dblp:15/2784 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Data mining › pattern mining
association rule mining
0.011998
MultiMediaMiner: A System Prototype for Multimedia Data Mining · SIGMOD Conference 1998
Data mining
clustering
0.011998
MultiMediaMiner: A System Prototype for Multimedia Data Mining · SIGMOD Conference 1998
Data mining › multimodal data mining
multimedia data mining
0.011998
MultiMediaMiner: A System Prototype for Multimedia Data Mining · SIGMOD Conference 1998
Data mining
pattern mining
0.011998
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
YearPublicationVenuePosition
2001 RecTree: An Efficient Collaborative Filtering Method
Sonny Han Seng Chee, Jiawei Han 0001, Ke Wang 0001
DaWaK1
1998 MultiMediaMiner: A System Prototype for Multimedia Data Mining
abstract
Multimedia 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 Conference4