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Eui-Hong Han
Person information
- affiliation: University of Minnesota, USA
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2010 – 2019
- 2019
- [c17]Yiming Liao
, Shuguang Wang, Eui-Hong Sam Han, Jongwuk Lee, Dongwon Lee:
Characterization and Early Detection of Evergreen News Articles. ECML/PKDD (3) 2019: 552-568 - 2016
- [c16]Yaser Keneshloo, Shuguang Wang, Eui-Hong Sam Han, Naren Ramakrishnan
:
Predicting the shape and peak time of news article views. IEEE BigData 2016: 2400-2409 - [c15]Yaser Keneshloo, Shuguang Wang, Eui-Hong Sam Han, Naren Ramakrishnan:
Predicting the Popularity of News Articles. SDM 2016: 441-449 - 2015
- [c14]Shuguang Wang, Eui-Hong Sam Han:
BreakFast: Analyzing Celerity of News. ICMLA 2015: 917-922 - [c13]Nikhil Muralidhar, Huzefa Rangwala, Eui-Hong Sam Han:
Recommending Temporally Relevant News Content from Implicit Feedback Data. ICTAI 2015: 689-696 - 2010
- [c12]Santosh Kabbur, Eui-Hong Han, George Karypis
:
Content-Based Methods for Predicting Web-Site Demographic Attributes. ICDM 2010: 863-868
2000 – 2009
- 2006
- [e1]Eric G. Bremer, Jörg Hakenberg
, Eui-Hong Han, Daniel P. Berrar, Werner Dubitzky:
Knowledge Discovery in Life Science Literature, PAKDD 2006 International Workshop, KDLL 2006, Singapore, April 9, 2006, Proceedings. Lecture Notes in Computer Science 3886, Springer 2006, ISBN 3-540-32809-2 [contents] - 2005
- [c11]Eui-Hong Han, George Karypis
:
Feature-based recommendation system. CIKM 2005: 446-452 - 2003
- [c10]Eui-Hong Han, George Karypis
, Doug Mewhort, Keith Hatchard:
Intelligent metasearch engine for knowledge management. CIKM 2003: 492-495 - 2002
- [c9]Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan
, Michael S. Steinbach:
High Performance Data Mining. VECPAR 2002: 111-125 - 2001
- [c8]Eui-Hong Han, George Karypis, Vipin Kumar:
Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. PAKDD 2001: 53-65 - 2000
- [j6]Eui-Hong Han, George Karypis
, Vipin Kumar:
Scalable Parallel Data Mining for Association Rules. IEEE Trans. Knowl. Data Eng. 12(3): 377-352 (2000) - [c7]Eui-Hong Han, George Karypis
:
Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval. CIKM 2000: 12-19 - [c6]Eui-Hong Han, George Karypis:
Centroid-Based Document Classification: Analysis and Experimental Results. PKDD 2000: 424-431
1990 – 1999
- 1999
- [j5]Daniel Boley, Maria L. Gini
, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis
, Vipin Kumar, Bamshad Mobasher
, Jerome Moore:
Document Categorization and Query Generation on the World Wide Web Using WebACE. Artif. Intell. Rev. 13(5-6): 365-391 (1999) - [j4]George Karypis
, Eui-Hong Han, Vipin Kumar:
Chameleon: Hierarchical Clustering Using Dynamic Modeling. Computer 32(8): 68-75 (1999) - [j3]Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh:
Parallel Formulations of Decision-Tree Classification Algorithms. Data Min. Knowl. Discov. 3(3): 237-261 (1999) - [j2]Daniel Boley, Maria L. Gini
, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis
, Vipin Kumar, Bamshad Mobasher
, Jerome Moore:
Partitioning-based clustering for Web document categorization. Decis. Support Syst. 27(3): 329-341 (1999) - [c5]Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar:
Efficient Parallel Algorithms for Mining Associations. Large-Scale Parallel Data Mining 1999: 83-126 - 1998
- [j1]Eui-Hong Han, George Karypis
, Vipin Kumar, Bamshad Mobasher:
Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. IEEE Data Eng. Bull. 21(1): 15-22 (1998) - [c4]Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis
, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
WebACE: A Web Agent for Document Categorization and Exploration. Agents 1998: 408-415 - [c3]Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh:
Parallel Formulations of Decision-Tree Classification Algorithms. ICPP 1998: 237-244 - 1997
- [c2]Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher:
Clustering Based On Association Rule Hypergraphs. DMKD 1997 - [c1]Eui-Hong Han, George Karypis
, Vipin Kumar:
Scalable Parallel Data Mining for Association Rules. SIGMOD Conference 1997: 277-288
Coauthor Index
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