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ER
2003
Springer
550views Database» more  ER 2003»
14 years 3 months ago
A UML Based Approach for Modeling ETL Processes in Data Warehouses
Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) proces...
Juan Trujillo, Sergio Luján-Mora
NIPS
1998
13 years 11 months ago
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
This paper presents probabilistic modeling methods to solve the problem of discriminating between five facial orientations with very little labeled data. Three models are explored...
Shumeet Baluja
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 11 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
ENVSOFT
2006
131views more  ENVSOFT 2006»
13 years 10 months ago
Hydrological models are so good, do we still need data?
Our ability to numerically model natural systems has progressed enormously over the last 10e20 years. During the last decade computational power has increased to the stage where w...
R. P. Silberstein
PREMI
2007
Springer
14 years 4 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron