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» Forgetting data intelligently in data warehouses
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 1 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
KI
2001
Springer
13 years 12 months ago
Extracting Situation Facts from Activation Value Histories in Behavior-Based Robots
The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
Frank Schönherr, Mihaela Cistelecan, Joachim ...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 7 months ago
QoX-driven ETL design: reducing the cost of ETL consulting engagements
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes...
Alkis Simitsis, Kevin Wilkinson, Malú Caste...
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
14 years 7 months ago
Column-stores vs. row-stores: how different are they really?
There has been a significant amount of excitement and recent work on column-oriented database systems ("column-stores"). These database systems have been shown to perfor...
Daniel J. Abadi, Samuel Madden, Nabil Hachem
EDBT
2008
ACM
144views Database» more  EDBT 2008»
14 years 7 months ago
BI batch manager: a system for managing batch workloads on enterprise data-warehouses
Modern enterprise data warehouses have complex workloads that are notoriously difficult to manage. An important problem in workload management is to run these complex workloads `o...
Abhay Mehta, Chetan Gupta, Umeshwar Dayal