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» Efficient Discovery of Confounders in Large Data Sets
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ICDE
2003
IEEE
135views Database» more  ICDE 2003»
14 years 9 months ago
Discovery of High-Dimensional
Determining relationships such as functional or inclusion dependencies within and across databases is important for many applications in information integration. When such informa...
Andreas Koeller, Elke A. Rundensteiner
SIGKDD
2008
149views more  SIGKDD 2008»
13 years 7 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
GIS
2009
ACM
14 years 8 months ago
On-Line Discovery of Flock Patterns in Spatio-Temporal Data
With the recent advancements and wide usage of location detection devices, large quantities of data are collected by GPS and cellular technologies in the form of trajectories. Whi...
Marcos R. Vieira, Petko Bakalov, Vassilis J. Tsotr...
ADBIS
2004
Springer
133views Database» more  ADBIS 2004»
14 years 1 months ago
Evaluation of the Mine-Merge Method for Data Mining Query Processing
In this paper we consider concurrent execution of multiple data mining queries in the context of discovery of frequent itemsets. If such data mining queries operate on similar part...
Marek Wojciechowski, Maciej Zakrzewicz
JWSR
2007
172views more  JWSR 2007»
13 years 7 months ago
Service Class Driven Dynamic Data Source Discovery with DynaBot
: Dynamic Web data sources – sometimes known collectively as the Deep Web – increase the utility of the Web by providing intuitive access to data repositories anywhere that Web...
Daniel Rocco, James Caverlee, Ling Liu, Terence Cr...