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» A Learning Algorithm for Multiple Rule Trees
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WWW
2001
ACM
14 years 8 months ago
IEPAD: information extraction based on pattern discovery
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
Chia-Hui Chang, Shao-Chen Lui
DEXA
2011
Springer
234views Database» more  DEXA 2011»
12 years 7 months ago
Learning Top-k Transformation Rules
Record linkage identifies multiple records referring to the same entity even if they are not bit-wise identical. It is thus an essential technology for data integration and data c...
Sunanda Patro, Wei Wang
ICTAI
2002
IEEE
14 years 18 days ago
Machine Learning for Software Engineering: Case Studies in Software Reuse
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
Justin S. Di Stefano, Tim Menzies
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
14 years 1 months ago
SWAF: Swarm Algorithm Framework for Numerical Optimization
A swarm algorithm framework (SWAF), realized by agent-based modeling, is presented to solve numerical optimization problems. Each agent is a bare bones cognitive architecture, whic...
Xiao-Feng Xie, Wenjun Zhang
IFIP12
2008
13 years 9 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda