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» Improving Mining Quality by Exploiting Data Dependency
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SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
15 years 6 months ago
Optimal Distance Bounds on Time-Series Data.
Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
Michail Vlachos, Philip S. Yu, Suleyman S. Kozat
66
Voted
ADMA
2005
Springer
144views Data Mining» more  ADMA 2005»
15 years 3 months ago
One Dependence Augmented Naive Bayes
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
KDD
1998
ACM
164views Data Mining» more  KDD 1998»
15 years 1 months ago
A Data Mining Support Environment and its Application on Insurance Data
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer
VLDB
1997
ACM
169views Database» more  VLDB 1997»
15 years 1 months ago
Mining Insurance Data at Swiss Life
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
15 years 3 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen