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» Challenges for Data Mining in Distributed Sensor Networks
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TKDE
2010
197views more  TKDE 2010»
13 years 3 months ago
Filtering Data Streams for Entity-Based Continuous Queries
The idea of allowing query users to relax their correctness requirements in order to improve performance of a data stream management system (e.g., location-based services and senso...
Reynold Cheng, Benjamin C. M. Kao, Alan Kwan, Suni...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
11 years 11 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
ICNSC
2007
IEEE
14 years 3 months ago
Towards Robot-Assisted Mass-Casualty Triage
Abstract— This paper provides a discussion on how teleoperated robots could be utilized to do the simple triage of victims of a multiple casualty incident. Previous work in the a...
Carolina Chang, Robin R. Murphy
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
14 years 9 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain