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» Risk-Management for Data Warehouse Systems
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175
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SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
15 years 10 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
NLDB
2007
Springer
15 years 11 months ago
Flexible and Customizable NL Representation of Requirements for ETL processes
The design of an Extract – Transform – Load (ETL) workflow for the population of a Data Warehouse is a complex and challenging procedure. In previous work, we have presented an...
Dimitrios Skoutas, Alkis Simitsis
213
Voted
SIGMOD
2012
ACM
345views Database» more  SIGMOD 2012»
13 years 8 months ago
Shark: fast data analysis using coarse-grained distributed memory
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
15 years 5 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
ICDM2
2004
Springer
196views Data Mining» more  ICDM2 2004»
15 years 11 months ago
An Early Warning System for Vehicle Related Quality Data
Vehicle production audit tests, warranty claims and car control unit data are stored in a central data warehouse for data mining analysis. Neural network based part failure rate es...
Matthias Grabert, Markus Prechtel, Tomas Hrycej, W...