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Vesile Evrim

dblp:23/956 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · unresolved

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 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Databases, data mining, and information retrieval
1 paper
Web and social media mining · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
relation extraction
0.112007
Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments · IJCAI 2007
Visualization and visual analytics › information visualization
relationship visualization
0.012007
Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments · IJCAI 2007

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

visualization · 0.2text mining · 0.2
YearPublicationVenuePosition
2014 Context-based information analysis for the Web environment
Vesile Evrim, Dennis McLeod
Knowl. Inf. Syst.1
2007 Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments
John O'Donovan, Barry Smyth, Vesile Evrim, Dennis McLeod
IJCAI3