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SAC
2009
ACM
16 years 1 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
EAGC
2004
Springer
16 years 2 days ago
Using Global Snapshots to Access Data Streams on the Grid
Data streams are a prevalent and growing source of timely data. As streams become more prevalent, richer interrogation of the contents of the streams are required. Value of the con...
Beth Plale
ICDE
1998
IEEE
104views Database» more  ICDE 1998»
16 years 8 months ago
Representing and Querying Changes in Semistructured Data
Semistructured data may be irregular and incomplete and does not necessarily conform to a fixed schema. As with structured data, it is often desirable to maintain a history of cha...
Sudarshan S. Chawathe, Serge Abiteboul, Jennifer W...
SIGMOD
2005
ACM
118views Database» more  SIGMOD 2005»
16 years 6 months ago
A survey of data provenance in e-science
Data management is growing in complexity as largescale applications take advantage of the loosely coupled resources brought together by grid middleware and by abundant storage cap...
Yogesh Simmhan, Beth Plale, Dennis Gannon
185
Voted
PODS
2005
ACM
147views Database» more  PODS 2005»
16 years 6 months ago
Peer data exchange
Abstract. We present a semantics and answer set programs for relational peer data exchange systems. When a peer answers a query, it exchanges data with other peers in order to supp...
Ariel Fuxman, Phokion G. Kolaitis, Renée J....