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IPPS
2009
IEEE
15 years 4 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
INFOCOM
2006
IEEE
15 years 3 months ago
Landmark-Based Information Storage and Retrieval in Sensor Networks
— For a wide variety of sensor network environments, location information is unavailable or expensive to obtain. We propose a location-free, lightweight, distributed, and data-ce...
Qing Fang, Jie Gao, Leonidas J. Guibas
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 1 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
75
Voted
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
15 years 10 months ago
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus
We present a document routing and index partitioning scheme for scalable similarity-based search of documents in a large corpus. We consider the case when similarity-based search ...
Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra
MM
2006
ACM
197views Multimedia» more  MM 2006»
15 years 3 months ago
Virtual observers in a mobile surveillance system
Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to locations of interest. We describe an alternative and flexible approach to w...
Stewart Greenhill, Svetha Venkatesh