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» Mining Very Large Databases
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ICDE
2010
IEEE
408views Database» more  ICDE 2010»
14 years 4 months ago
Hive - a petabyte scale data warehouse using Hadoop
— The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensiv...
Ashish Thusoo, Joydeep Sen Sarma, Namit Jain, Zhen...
ICCV
2007
IEEE
14 years 4 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
BTW
2007
Springer
154views Database» more  BTW 2007»
14 years 4 months ago
Integrating Query-Feedback Based Statistics into Informix Dynamic Server
: Statistics that accurately describe the distribution of data values in the columns of relational tables are essential for effective query optimization in a database management sy...
Alexander Behm, Volker Markl, Peter J. Haas, Kesha...
DASFAA
2006
IEEE
121views Database» more  DASFAA 2006»
14 years 3 months ago
Distributed Network Querying with Bounded Approximate Caching
Abstract. As networks continue to grow in size and complexity, distributed network monitoring and resource querying are becoming increasingly difficult. Our aim is to design, build...
Badrish Chandramouli, Jun Yang 0001, Amin Vahdat
SSDBM
2006
IEEE
122views Database» more  SSDBM 2006»
14 years 3 months ago
Probabilistic Ranking Queries on Gaussians
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
Christian Böhm, Alexey Pryakhin, Matthias Sch...