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DASFAA
2005
IEEE
171views Database» more  DASFAA 2005»
14 years 1 months ago
Mining Succinct Systems of Minimal Generators of Formal Concepts
Formal concept analysis has become an active field of study for data analysis and knowledge discovery. A formal concept C is determined by its extent (the set of objects that fall...
Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, Li...
ICASSP
2007
IEEE
14 years 2 months ago
Context-Based Concept Fusion with Boosted Conditional Random Fields
The contextual relationships among different semantic concepts provide important information for automatic concept detection in images/videos. We propose a new context-based conce...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
CORR
2002
Springer
99views Education» more  CORR 2002»
13 years 7 months ago
The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
Peter D. Turney
DBWORKSHOPS
1992
13 years 8 months ago
An Incremental Concept Formation Approach for Learning from Databases
Godin, R. and R. Missaoui, An incremental concept formation approach for learning from databases, Theoretical Computer Science 133 (1994) 3533385. This paper describes a concept f...
Rokia Missaoui, Robert Godin
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 7 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang