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» Mining Very Large Databases
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119
Voted
VLDB
2010
ACM
144views Database» more  VLDB 2010»
15 years 2 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
162
Voted
VC
2010
168views more  VC 2010»
14 years 10 months ago
From sentence to emotion: a real-time three-dimensional graphics metaphor of emotions extracted from text
This paper presents a novel concept: a graphical representation of human emotion extracted from text sentences. The major contributions of this paper are the following. First, we p...
Stéphane Gobron, Junghyun Ahn, Georgios Pal...
136
Voted
MINENET
2006
ACM
15 years 9 months ago
Privacy-preserving performance measurements
Internet performance is an issue of great interest, but it is not trivial to measure. A number of commercial companies try to measure this, as does RIPE, and many individual Inter...
Matthew Roughan, Yin Zhang
129
Voted
CIKM
2008
Springer
15 years 5 months ago
A note on search based forecasting of ad volume in contextual advertising
In contextual advertising, estimating the number of impressions of an ad is critical in planning and budgeting advertising campaigns. However, producing this forecast, even within...
Xuerui Wang, Andrei Z. Broder, Marcus Fontoura, Va...
154
Voted
SAC
2008
ACM
15 years 3 months ago
A clustering-based approach for discovering interesting places in trajectories
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
Andrey Tietbohl Palma, Vania Bogorny, Bart Kuijper...