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HAIS
2009
Springer
15 years 6 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
AUSAI
2008
Springer
15 years 3 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
164
Voted
NAR
2011
208views Computer Vision» more  NAR 2011»
14 years 4 months ago
Tomato Functional Genomics Database: a comprehensive resource and analysis package for tomato functional genomics
Tomato Functional Genomics Database (TFGD) provides a comprehensive resource to store, query, mine, analyze, visualize and integrate large-scale tomato functional genomics data se...
Zhangjun Fei, Je-Gun Joung, Xuemei Tang, Yi Zheng,...
KDD
2007
ACM
193views Data Mining» more  KDD 2007»
16 years 2 months ago
Joint optimization of wrapper generation and template detection
Many websites have large collections of pages generated dynamically from an underlying structured source like a database. The data of a category are typically encoded into similar...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu
149
Voted
FLAIRS
2010
15 years 4 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves