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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 7 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 10 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
ICMCS
2005
IEEE
89views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Semantic Knowledge Building for Image Database by Analyzing Web Page Contents
In this paper, we present a method of semantic knowledge building for image database by extracting semantic meanings from Web page contents. The novelty of our method is that it i...
Yung-Kwang Lai, Song Liu, Liang-Tien Chia, Syin Ch...
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
15 years 5 months ago
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...
Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, She...
JUCS
2010
108views more  JUCS 2010»
14 years 11 months ago
Extending the Methods for Computing the Importance of Entity Types in Large Conceptual Schemas
: Visualizing and understanding large conceptual schemas requires the use of specific methods. These methods generate clustered, summarized, or focused schemas that are easier to v...
Antonio Villegas, Antoni Olivé