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» Distributed Data Management for Large Volume Visualization
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KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 6 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
DEBS
2008
ACM
15 years 8 months ago
Replica placement for high availability in distributed stream processing systems
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
Thomas Repantis, Vana Kalogeraki
HIPC
2005
Springer
15 years 11 months ago
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
Haimonti Dutta, Hillol Kargupta, Anupam Joshi
VLDB
2002
ACM
131views Database» more  VLDB 2002»
15 years 5 months ago
ProTDB: Probabilistic Data in XML
Whereas traditional databases manage only deterministic information, many applications that use databases involve uncertain data. This paper presents a Probabilistic Tree Data Bas...
Andrew Nierman, H. V. Jagadish
PPOPP
2005
ACM
15 years 11 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...