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SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
14 years 1 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
14 years 2 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
SIGMOD
2012
ACM
345views Database» more  SIGMOD 2012»
11 years 11 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»
13 years 8 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»
14 years 2 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...