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» Statistical Supports for Frequent Itemsets on Data Streams
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99
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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 3 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
160
Voted
PODS
2009
ACM
100views Database» more  PODS 2009»
16 years 6 days ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...
MTA
2008
132views more  MTA 2008»
14 years 11 months ago
Peer to peer video streaming in Bluetooth overlays
As Bluetooth is available in most personal and portable terminals (eg, cellular phone, PDA, videocamera, laptop, etc) P2P video streaming through Bluetooth networks is now a reali...
Sewook Jung, Alexander Chang, Mario Gerla
SADM
2010
128views more  SADM 2010»
14 years 10 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
110
Voted
SSDBM
2006
IEEE
140views Database» more  SSDBM 2006»
15 years 5 months ago
A Dynamic Mobility Histogram Construction Method Based on Markov Chains
With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-ti...
Yoshiharu Ishikawa, Yoji Machida, Hiroyuki Kitagaw...