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» Modeling Problem Transformations based on Data Complexity
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TPCTC
2009
Springer
101views Hardware» more  TPCTC 2009»
16 years 20 days ago
Benchmarking ETL Workflows
Extraction–Transform–Load (ETL) processes comprise complex data workflows, which are responsible for the maintenance of a Data Warehouse. A plethora of ETL tools is currently a...
Alkis Simitsis, Panos Vassiliadis, Umeshwar Dayal,...
179
Voted
KDD
1994
ACM
116views Data Mining» more  KDD 1994»
15 years 10 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines
ENTCS
2010
118views more  ENTCS 2010»
15 years 3 months ago
Systematic Refinement of Performance Models for Concurrent Component-based Systems
Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Lucia Kapová, Steffen Becker
EOR
2006
130views more  EOR 2006»
15 years 6 months ago
A Benders decomposition approach for the robust spanning tree problem with interval data
The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
Roberto Montemanni
ICMLA
2008
15 years 7 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux