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» Evaluation of Sampling for Data Mining of Association Rules
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DAWAK
2007
Springer
15 years 6 months ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro
EOR
2008
86views more  EOR 2008»
15 years 18 days ago
Fuzzy inference to assess manufacturing process capability with imprecise data
Process capability indices provide numerical measures on whether a process conforms to the defined manufacturing capability prerequisite. These have been successfully applied by c...
Bi-Min Hsu, Ming-Hung Shu
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
16 years 29 days ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
ENGL
2007
101views more  ENGL 2007»
15 years 15 days ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan
82
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KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 4 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