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ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
15 years 10 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
ACL
2010
15 years 2 months ago
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
Partha Pratim Talukdar, Fernando Pereira
LWA
2007
15 years 5 months ago
Position Paper: Ontology Learning from Folksonomies
The emergence of collaborative tagging systems with their underlying flat and uncontrolled resource organization paradigm has led to a large number of research activities focussi...
Dominik Benz, Andreas Hotho
IJLT
2007
67views more  IJLT 2007»
15 years 4 months ago
Differentiated e-learning: five approaches through instructional technology
: Differentiated instruction is an approach to teaching that acknowledges people have multiple paths for learning and for making sense of ideas. In e-learning, differentiated instr...
Kathleen Scalise