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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 8 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
ACL
2006
15 years 8 months ago
Reranking and Self-Training for Parser Adaptation
Statistical parsers trained and tested on the Penn Wall Street Journal (WSJ) treebank have shown vast improvements over the last 10 years. Much of this improvement, however, is ba...
David McClosky, Eugene Charniak, Mark Johnson
DOA
2001
137views more  DOA 2001»
15 years 8 months ago
Supporting Distributed Processing of Time-Based Media Streams
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of ...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne
ECIS
2001
15 years 8 months ago
An examination of auction price determinants on Ebay
Online auction has become an intriguing new type of economic exchange mechanism. Given that Internet auctions differ from traditional physical auctions in terms of flexibility and...
Wen Wan, Hock-Hai Teo
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
15 years 8 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester