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SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
16 years 4 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
SIGMOD
2007
ACM
188views Database» more  SIGMOD 2007»
16 years 4 months ago
Keyword search on relational data streams
Increasing monitoring of transactions, environmental parameters, homeland security, RFID chips and interactions of online users rapidly establishes new data sources and applicatio...
Alexander Markowetz, Yin Yang, Dimitris Papadias
SIGMOD
2006
ACM
131views Database» more  SIGMOD 2006»
16 years 4 months ago
An automatic construction and organization strategy for ensemble learning on data streams
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
Yi Zhang, Xiaoming Jin
SIGMOD
2006
ACM
89views Database» more  SIGMOD 2006»
16 years 4 months ago
Testing database applications
Testing of database applications is crucial for ensuring high software quality as undetected faults can result in unrecoverable data corruption. The problem of database applicatio...
Carsten Binnig, Donald Kossmann, Eric Lo
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 4 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
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