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Jin-Guk Jung
Publication Activity (10 Years)
Years Active: 2004-2014
Publications (10 Years): 0
Top Topics
Latent Semantic
Social Network Services
Mining Frequent Patterns
Itemsets
Top Venues
MUSIC
Wirel. Pers. Commun.
Int. J. Softw. Eng. Knowl. Eng.
Expert Syst. Appl.
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Publications
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Kyeong-Jin Oh
,
Jin-Guk Jung
,
GeunSik Jo
Discovering Frequent Patterns by Constructing Frequent Pattern Network over Data Streams in E-Marketplaces.
Wirel. Pers. Commun.
79 (4) (2014)
Mohammed Nazim Uddin
,
Trong Hai Duong
,
Kyeong-Jin Oh
,
Jin-Guk Jung
,
GeunSik Jo
Experts Search and Rank with Social Network: an Ontology-Based Approach.
Int. J. Softw. Eng. Knowl. Eng.
23 (1) (2013)
Kee-Sung Lee
,
Myung-Duk Hong
,
Jin-Guk Jung
,
GeunSik Jo
Building a Semantic Social Network Based on Interpersonal Relationships.
MUSIC
(2012)
Heung-Nam Kim
,
Abdulmotaleb El-Saddik
,
Jin-Guk Jung
Leveraging personal photos to inferring friendships in social network services.
Expert Syst. Appl.
39 (8) (2012)
Kee-Sung Lee
,
Jin-Guk Jung
,
Kyeong-Jin Oh
,
GeunSik Jo
U2Mind: Visual Semantic Relationships Query for Retrieving Photos in Social Network.
ACIIDS (1)
(2011)
Heung-Nam Kim
,
Jin-Guk Jung
,
Abdulmotaleb El-Saddik
Associative face co-occurrence networks for recommending friends in social networks.
WSM@MM
(2010)
Jin-Guk Jung
,
Kyeong-Jin Oh
,
GeunSik Jo
Extracting Relations towards Ontology Extension.
KES-AMSTA
(2009)
Heung-Nam Kim
,
Inay Ha
,
Jin-Guk Jung
,
GeunSik Jo
User Preference Modeling from Positive Contents for Personalized Recommendation.
Discovery Science
(2007)
Jin-Guk Jung
,
Mohammed Nazim Uddin
,
GeunSik Jo
Learning Using a Self-building Associative Frequent Network.
ICANNGA (2)
(2007)
Bae-Hee Lee
,
Heung-Nam Kim
,
Jin-Guk Jung
,
GeunSik Jo
Location-Based Service with Context Data for a Restaurant Recommendation.
DEXA
(2006)
Jin-Guk Jung
,
Supratip Ghose
,
GeunSik Jo
Mining Large Patterns with Profit-Based Support in e-Commerce.
Australian Conference on Artificial Intelligence
(2006)
Supratip Ghose
,
Jin-Guk Jung
,
GeunSik Jo
Collaborative Detection of Spam in Peer-to-Peer Paradigm Based on Multi-agent Systems.
GCC
(2004)