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» MOA: Massive Online Analysis
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MM
2009
ACM
147views Multimedia» more  MM 2009»
14 years 8 hour ago
Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior
While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little att...
Joan-Isaac Biel, Daniel Gatica-Perez
BMCBI
2008
93views more  BMCBI 2008»
13 years 7 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
ICASSP
2011
IEEE
12 years 11 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 7 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
WWW
2009
ACM
14 years 8 months ago
A measurement-driven analysis of information propagation in the flickr social network
Online social networking sites like MySpace, Facebook, and Flickr have become a popular way to share and disseminate content. Their massive popularity has led to viral marketing t...
Meeyoung Cha, Alan Mislove, P. Krishna Gummadi