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» Supporting views in data stream management systems
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CIKM
2004
Springer
15 years 10 months ago
Restructuring batch view maintenance efficiently
Materialized views defined over distributed data sources are a well recognized technology for modern applications. Stateof-the-art incremental view maintenance requires O(n2 ) or ...
Bin Liu, Elke A. Rundensteiner, David Finkel
CLOUD
2010
ACM
15 years 11 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ISM
2008
IEEE
273views Multimedia» more  ISM 2008»
15 years 6 months ago
Understanding Data-Driven Decision Support Systems
It is important for managers and Information Technology professionals to understand data-driven decision support systems and how such systems can provide business intelligence and ...
Daniel J. Power
IPPS
2007
IEEE
16 years 13 days ago
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms
The knowledge discovery process is interactive in nature and therefore minimizing query response time is imperative. The compute and memory intensive nature of data mining algorit...
Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shi...
PKDD
2000
Springer
125views Data Mining» more  PKDD 2000»
15 years 9 months ago
Materialized Data Mining Views
Data mining is a useful decision support technique, which can be used to find trends and regularities in warehouses of corporate data. A serious problem of its practical applicatio...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...