54 search results - page 4 / 11 » Efficient parallel set-similarity joins using MapReduce |
CLOUDCOM
2010
Springer
13 years 6 months ago
2010
Springer
This paper investigates the problem of Partitioning Skew1 in MapReduce-based system. Our studies with Hadoop, a widely used MapReduce implementation, demonstrate that the presence ...
SIGMOD
2010
ACM
14 years 2 months ago
2010
ACM
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
SIGMOD
2012
ACM
12 years 7 days ago
2012
ACM
Cloud enabled systems have become a crucial component to efficiently process and analyze massive amounts of data. One of the key data processing and analysis operations is the Sim...
SIGMOD
2007
ACM
14 years 10 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
TKDE
2002
13 years 9 months ago
2002
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...