Sciweavers

471 search results - page 12 / 95
» MapReduce: Simplified Data Processing on Large Clusters
Sort
View
SEMWEB
2009
Springer
14 years 2 months ago
Parallel Materialization of the Finite RDFS Closure for Hundreds of Millions of Triples
In this paper, we consider the problem of materializing the complete finite RDFS closure in a scalable manner; this includes those parts of the RDFS closure that are often ignored...
Jesse Weaver, James A. Hendler
ISCI
2002
118views more  ISCI 2002»
13 years 7 months ago
Hyper-rectangle based segmentation and clustering of large video data sets
Video information processing has been one of great challenging areas in the database community since it needs huge amount of storage space and processing power. In this paper, we ...
Seok-Lyong Lee, Chin-Wan Chung
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
11 years 10 months ago
Oracle in-database hadoop: when mapreduce meets RDBMS
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
Xueyuan Su, Garret Swart
KDD
2009
ACM
146views Data Mining» more  KDD 2009»
14 years 2 months ago
Mining in a mobile environment
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s ...
Sean McRoskey, James Notwell, Nitesh V. Chawla, Ch...
PVLDB
2010
150views more  PVLDB 2010»
13 years 6 months ago
DataGarage: Warehousing Massive Performance Data on Commodity Servers
Contemporary datacenters house tens of thousands of servers. The servers are closely monitored for operating conditions and utilizations by collecting their performance data (e.g....
Charles Loboz, Slawek Smyl, Suman Nath