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ADC
2003
Springer
182views Database» more  ADC 2003»
15 years 2 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 4 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
98
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AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
14 years 11 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...
MICCAI
2006
Springer
15 years 10 months ago
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan ...
SEMWEB
2004
Springer
15 years 3 months ago
Inferring Data Transformation Rules to Integrate Semantic Web Services
Abstract. OWL-S allows selecting, composing and invoking Web Serdifferent levels of abstraction: selection uses high level abstract descriptions, invocation uses low level groundi...
Bruce Spencer, Sandy Liu