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» Theoretical Frameworks for Data Mining
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DIS
1999
Springer
15 years 2 months ago
Scheduled Discovery of Exception Rules
This paper shows preliminary results, on financial data, of an algorithm for discovering pairs of an exception rule and a common sense rule under a prespecified schedule. An exce...
Einoshin Suzuki
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 4 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
NOMS
2006
IEEE
15 years 4 months ago
Predicting Machine Availabilities in Desktop Pools
—This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
Artur Andrzejak, Patrício Domingues, Lu&iac...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
PKDD
2004
Springer
97views Data Mining» more  PKDD 2004»
15 years 3 months ago
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources
Attribute noise can affect classification learning. Previous work in handling attribute noise has focused on those predictable attributes that can be predicted by the class and o...
Ying Yang, Xindong Wu, Xingquan Zhu