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» Streaming data integration: Challenges and opportunities
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ICDE
2007
IEEE
161views Database» more  ICDE 2007»
14 years 1 months ago
How to scalably and accurately skip past streams
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
Supratik Bhattacharyya, André Madeira, S. M...
ACMICEC
2007
ACM
133views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
Electronic commerce is revolutionizing the way we think about data modeling, by making it possible to integrate the processes of (costly) data acquisition and model induction. The...
Foster J. Provost, Prem Melville, Maytal Saar-Tsec...
WWW
2008
ACM
14 years 8 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 7 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin
IFIP
2007
Springer
14 years 1 months ago
Platform-Independent Programming of Data-Intensive Applications Using UML
The shift of development effort onto the model level, as postulated by MDA, provides an opportunity for establishing a set of modelling constructs that is more intuitive and homoge...
Grzegorz Falda, Piotr Habela, Krzysztof Kaczmarski...