Emprise Y. K. Chan

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1ranked-venue papers

1as first author

0since 2021 · last 2011

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Data mining › structured data mining › graph mining community detection	0.1	1	2011	A Convex Formulation of Modularity Maximization for Community Detection · IJCAI 2011
Data mining › structured data mining graph mining	0.1	1	2011	A Convex Formulation of Modularity Maximization for Community Detection · IJCAI 2011
Data mining › structured data mining › graph mining › community detection modularity maximization	0.1	1	2011	A Convex Formulation of Modularity Maximization for Community Detection · IJCAI 2011

Methods — techniques the papers use, named apart from their topics

convex optimization · 0.1

Year	Publication	Venue	Position
2011	A Convex Formulation of Modularity Maximization for Community Detection Emprise Y. K. Chan, Dit-Yan Yeung	IJCAI	1