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AUSDM
2008
Springer
246views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia
Data mining and knowledge discovery have been applied to datasets in various industries including biomedical data. Modelling, data mining and visualization in biomedical data addr...
Ahmad Al-Oqaily, Paul J. Kennedy, Daniel R. Catchp...
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
AUSDM
2008
Springer
229views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
David M. W. Powers
AUSDM
2008
Springer
246views Data Mining» more  AUSDM 2008»
13 years 6 months ago
A New Evaluation Measure for Imbalanced Datasets
The area of imbalanced datasets is still relatively new, and it is known that the use of overall accuracy is not an appropriate evaluation measure for imbalanced datasets, because...
Cheng G. Weng, Josiah Poon
AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
13 years 6 months ago
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Zhipeng Xie