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» Improving Mining Quality by Exploiting Data Dependency
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CIS
2007
Springer
15 years 3 months ago
Mining with Noise Knowledge: Error Aware Data Mining
—Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...
Xindong Wu
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
15 years 10 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
SSDBM
1998
IEEE
115views Database» more  SSDBM 1998»
15 years 1 months ago
Tools for Data Warehouse Quality
In this demonstration, we show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager Con...
Michael Gebhardt, Matthias Jarke, Manfred A. Jeusf...
58
Voted
ICC
2007
IEEE
145views Communications» more  ICC 2007»
15 years 3 months ago
Predicting User-Perceived Quality Ratings from Streaming Media Data
Abstract—Media stream quality is highly dependent on underlying network conditions, but identifying scalable, unambiguous metrics to discern the user-perceived quality of a media...
Amy Csizmar Dalal, David R. Musicant, Jamie F. Ols...
PVLDB
2008
106views more  PVLDB 2008»
14 years 8 months ago
A revival of integrity constraints for data cleaning
Integrity constraints, a.k.a. data dependencies, are being widely used for improving the quality of schema. Recently constraints have enjoyed a revival for improving the quality o...
Wenfei Fan, Floris Geerts, Xibei Jia