 | 2009 |
6 |  | Jin-Guk Jung,
Kyeong-Jin Oh,
GeunSik Jo:
Extracting Relations towards Ontology Extension.
KES-AMSTA 2009: 242-251 |
| 2007 |
5 |  | Heung-Nam Kim,
Inay Ha,
Jin-Guk Jung,
GeunSik Jo:
User Preference Modeling from Positive Contents for Personalized Recommendation.
Discovery Science 2007: 116-126 |
4 |  | Jin-Guk Jung,
Mohammed Nazim Uddin,
GeunSik Jo:
Learning Using a Self-building Associative Frequent Network.
ICANNGA (2) 2007: 71-79 |
| 2006 |
3 |  | Jin-Guk Jung,
Supratip Ghose,
GeunSik Jo:
Mining Large Patterns with Profit-Based Support in e-Commerce.
Australian Conference on Artificial Intelligence 2006: 1054-1058 |
2 |  | Bae-Hee Lee,
Heung-Nam Kim,
Jin-Guk Jung,
GeunSik Jo:
Location-Based Service with Context Data for a Restaurant Recommendation.
DEXA 2006: 430-438 |
| 2004 |
1 |  | Supratip Ghose,
Jin-Guk Jung,
GeunSik Jo:
Collaborative Detection of Spam in Peer-to-Peer Paradigm Based on Multi-agent Systems.
GCC 2004: 971-974 |