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131
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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 4 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
135
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 4 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
213
Voted
PODS
2009
ACM
113views Database» more  PODS 2009»
16 years 4 months ago
Relative information completeness
The paper investigates the question of whether a partially closed database has complete information to answer a query. In practice an enterprise often maintains master data Dm, a ...
Wenfei Fan, Floris Geerts
138
Voted
EWSN
2009
Springer
16 years 4 months ago
Flow-Based Real-Time Communication in Multi-Channel Wireless Sensor Networks
As many radio chips used in today's sensor mote hardware can work at different frequencies, several multi-channel communication protocols have recently been proposed to improv...
Xiaodong Wang, Xiaorui Wang, Xing Fu, Guoliang Xin...
170
Voted
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 4 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
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