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JDCTA
2008
107views more  JDCTA 2008»
13 years 11 months ago
A Rule Set Generation Technique for Better Decision Making
A rule set generation technique based on a generated decision tree is suggested for better decision making to compensate the weak point of decision trees
Hyontai Sug
CORR
2007
Springer
151views Education» more  CORR 2007»
13 years 11 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
BMCBI
2006
116views more  BMCBI 2006»
13 years 11 months ago
Whole genome association mapping by incompatibilities and local perfect phylogenies
Background: With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of ...
Thomas Mailund, Søren Besenbacher, Mikkel H...
BMCBI
2006
137views more  BMCBI 2006»
13 years 11 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
DATAMINE
2010
166views more  DATAMINE 2010»
13 years 11 months ago
Optimal constraint-based decision tree induction from itemset lattices
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
Siegfried Nijssen, Élisa Fromont
CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 11 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
CORR
2008
Springer
159views Education» more  CORR 2008»
13 years 11 months ago
Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data
We consider privacy preserving decision tree induction via ID3 in the case where the training data is horizontally or vertically distributed. Furthermore, we consider the same pro...
Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl...
BMCBI
2010
109views more  BMCBI 2010»
13 years 11 months ago
Predicting gene function using hierarchical multi-label decision tree ensembles
Background: S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology and the sequencing of their genomes was completed many years ago. It is still a challe...
Leander Schietgat, Celine Vens, Jan Struyf, Hendri...
FOCS
2008
IEEE
13 years 11 months ago
Hardness of Nearest Neighbor under L-infinity
Recent years have seen a significant increase in our understanding of high-dimensional nearest neighbor search (NNS) for distances like the 1 and 2 norms. By contrast, our underst...
Alexandr Andoni, Dorian Croitoru, Mihai Patrascu
COMAD
2009
14 years 19 days ago
A Feasibility Study on Automating the Automotive Insurance Claims Processing
In this paper, we present a feasibility study in automating the insurance claims processing system related to automotive sector. In automobile insurance claims processing, usually...
Jayanta Basak, Desmond Lim