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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 7 months ago
Group formation in large social networks: membership, growth, and evolution
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kle...
STOC
2004
ACM
61views Algorithms» more  STOC 2004»
16 years 7 months ago
The zero-one principle for switching networks
Recently, approximation analysis has been extensively used to study algorithms for routing weighted packets in various network settings. Although different techniques were applied...
Yossi Azar, Yossi Richter
SIGMOD
2007
ACM
168views Database» more  SIGMOD 2007»
16 years 6 months ago
In-network execution of monitoring queries in sensor networks
Sensor networks are widely used in many applications for collecting information from the physical environment. In these applications, it is usually necessary to track the relation...
Xiaoyan Yang, Hock-Beng Lim, M. Tamer Özsu, K...
EUROSYS
2007
ACM
16 years 3 months ago
Removing the memory limitations of sensor networks with flash-based virtual memory
Virtual memory has been successfully used in different domains to extend the amount of memory available to applications. We have adapted this mechanism to sensor networks, where,...
Andreas Lachenmann, Pedro José Marró...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 1 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang