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» Evaluation of Sampling for Data Mining of Association Rules
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CINQ
2004
Springer
225views Database» more  CINQ 2004»
15 years 6 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
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 ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
DKE
2008
109views more  DKE 2008»
15 years 23 days ago
Deterministic algorithms for sampling count data
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...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 1 months ago
Fast vertical mining using diffsets
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 ...
Mohammed Javeed Zaki, Karam Gouda
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CLIMA
2004
15 years 2 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
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...
Christopher Child, Kostas Stathis
MEDINFO
2007
179views Healthcare» more  MEDINFO 2007»
15 years 2 months ago
Temporal Abstraction and Data Mining with Visualization of Laboratory Data
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...