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ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
15 years 10 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 8 months ago
Connecting the dots between news articles
The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists...
Dafna Shahaf, Carlos Guestrin
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
16 years 1 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
VISUALIZATION
2005
IEEE
15 years 10 months ago
Query-Driven Visualization of Large Data Sets
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Be...
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 4 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye