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» Temporal Data Classification Using Linear Classifiers
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KBS
2006
79views more  KBS 2006»
15 years 2 months ago
Using multiple and negative target rules to make classifiers more understandable
One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based cla...
Jiuyong Li, Jason Jones
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 2 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
ENGL
2007
71views more  ENGL 2007»
15 years 2 months ago
Inductive Classifying Artificial Network for Fly Ash Type Categorization
Nowadays, fly ash is a common ingredient of concrete and may constitute up to 50% by weight of the total binder material. Incorporation of fly ash in Portland-cement concrete is hi...
M. C. Nataraja, M. A. Jayaram, C. N. Ravikumar
VLDB
2000
ACM
118views Database» more  VLDB 2000»
15 years 5 months ago
Decision Tables: Scalable Classification Exploring RDBMS Capabilities
In this paper, we report our success in building efficient scalable classifiers in the form of decision tables by exploring capabilities of modern relational database management s...
Hongjun Lu, Hongyan Liu
CIKM
2008
Springer
15 years 4 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles