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» Packet combining in sensor networks
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
14 years 7 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
WWW
2010
ACM
14 years 2 months ago
Atomate it! end-user context-sensitive automation using heterogeneous information sources on the web
The transition of personal information management (PIM) tools off the desktop to the Web presents an opportunity to augment these tools with capabilities provided by the wealth o...
Max Van Kleek, Brennan Moore, David R. Karger, Pau...
SC
2009
ACM
14 years 2 months ago
Kestrel: an XMPP-based framework for many task computing applications
This paper presents a new distributed computing framework for Many Task Computing (MTC) applications, based on the Extensible Messaging and Presence Protocol (XMPP). A lightweight...
Lance Stout, Michael A. Murphy, Sebastien Goasguen
ICASSP
2009
IEEE
14 years 2 months ago
Scalable distributed source coding
This paper considers the problem of scalable distributed coding of correlated sources that are communicated to a central unit. The general setting is typically encountered in sens...
Ankur Saxena, Kenneth Rose