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» Automatic Detection of Structural Changes in Data Warehouses
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CODES
2010
IEEE
13 years 5 months ago
Automatic memory partitioning: increasing memory parallelism via data structure partitioning
In high-level synthesis, pipelined designs are often restricted by the number of memory banks available to the synthesis system. Using multiple memory banks can improve the perfor...
Yosi Ben-Asher, Nadav Rotem
SEMWEB
2009
Springer
14 years 2 months ago
On Detecting High-Level Changes in RDF/S KBs
An increasing number of scientific communities rely on Semantic Web ontologies to share and interpret data within and across research domains. These common knowledge representatio...
Vicky Papavassiliou, Giorgos Flouris, Irini Fundul...
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 6 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
SEKE
2007
Springer
14 years 1 months ago
A Semantical Change Detection Algorithm for XML
XML diff algorithms proposed in the literature have focused on the structural analysis of the document. When XML is used for data exchange, or when different versions of a documen...
Rodrigo Cordeirodos Santos, Carmem S. Hara
LREC
2008
140views Education» more  LREC 2008»
13 years 9 months ago
Toward Active Learning in Data Selection: Automatic Discovery of Language Features During Elicitation
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
Jonathan Clark, Robert E. Frederking, Lori S. Levi...