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» MapReduce: Simplified Data Processing on Large Clusters
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SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 1 days ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 6 months ago
Unified storage systems for distributed Tier-2 centres
The start of data taking at the Large Hadron Collider will herald a new era in data volumes and distributed processing in particle physics. Data volumes of hundreds of Terabytes wi...
Greig A. Cowan, Graeme A. Stewart, Andrew Elwell
HPDC
2002
IEEE
14 years 20 days ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
14 years 2 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
TSE
2002
96views more  TSE 2002»
13 years 7 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian