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» Finding Representative Set from Massive Data
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PVLDB
2008
182views more  PVLDB 2008»
13 years 5 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 7 months ago
Warehousing and Analyzing Massive RFID Data Sets
Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected tha...
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Kla...
IPPS
2009
IEEE
14 years 1 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
CIKM
2006
Springer
13 years 10 months ago
On the structural properties of massive telecom call graphs: findings and implications
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward ...
Amit Anil Nanavati, Siva Gurumurthy, Gautam Das, D...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 6 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...