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KDD
1995
ACM
135views Data Mining» more  KDD 1995»
13 years 8 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
AI
2007
Springer
13 years 10 months ago
Learning the Semantic Meaning of a Concept from the Web
Many researchers have used text classification method in solving the ontology mapping problem. Their mapping results heavily depend on the availability of quality exemplars used as...
Yang Yu, Yun Peng
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
12 years 11 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
ACSC
2006
IEEE
13 years 10 months ago
Using formal concept analysis with an incremental knowledge acquisition system for web document management
It is necessary to provide a method to store Web information effectively so it can be utilised as a future knowledge resource. A commonly adopted approach is to classify the retri...
Timothy J. Everts, Sung Sik Park, Byeong Ho Kang
HIS
2003
13 years 5 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider