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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 4 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
ECBS
2006
IEEE
119views Hardware» more  ECBS 2006»
14 years 3 months ago
A Model Transformation Approach for Design Pattern Evolutions
The evolution of a design pattern typically involves the addition or removal of a group of modeling elements, such as classes, attributes, operations, and relationships. However, ...
Jing Dong, Sheng Yang, Kang Zhang
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
14 years 10 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
ICDM
2003
IEEE
140views Data Mining» more  ICDM 2003»
14 years 3 months ago
Mining Frequent Itemsets in Distributed and Dynamic Databases
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
Matthew Eric Otey, Chao Wang, Srinivasan Parthasar...
JUCS
2008
187views more  JUCS 2008»
13 years 9 months ago
Semantic Information in Medical Information Systems: Utilization of Text Mining Techniques to Analyze Medical Diagnoses
: Most information in Hospitals is still only available in text format and the amount of this data is immensely increasing. Consequently, text mining is an essential area of medica...
Andreas Holzinger, Regina Geierhofer, Felix Mö...