Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Abstraction and Data Mining with Visualization of Laboratory Data Katsuhiko Takabayashi a , Tu Bao Ho b , Hideto Yokoi c , Trong Dung Nguyen b , Saori Kawasaki b , Si Quang Le b , ...
Katsuhiko Takabayashi, Tu Bao Ho, Hideto Yokoi, Tr...