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» Mining for Useful Association Rules Using the ATMS
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BMCBI
2011
13 years 2 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
BMCBI
2005
116views more  BMCBI 2005»
13 years 7 months ago
Which gene did you mean?
Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput exper...
Barend Mons
OTM
2007
Springer
14 years 1 months ago
Discovering Executable Semantic Mappings Between Ontologies
Creating executable semantic mappings is an important task for ontology-based information integration. Although it is argued that mapping tools may require interaction from humans ...
Han Qin, Dejing Dou, Paea LePendu
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
13 years 12 months ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
13 years 9 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...