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» Phenomenal Data Mining: From Data to Phenomena
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SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 2 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
DMIN
2010
262views Data Mining» more  DMIN 2010»
14 years 11 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
13 years 9 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
WWW
2009
ACM
16 years 2 months ago
Collective privacy management in social networks
Social Networking is one of the major technological phenomena of the Web 2.0, with hundreds of millions of people participating. Social networks enable a form of self expression f...
Anna Cinzia Squicciarini, Mohamed Shehab, Federica...
ICN
2007
Springer
15 years 7 months ago
CoLoRaDe: A Novel Algorithm for Controlling Long-Range Dependent Network Traffic
Long-range dependence characteristics have been observed in many natural or physical phenomena. In particular, a significant impact on data network performance has been shown in se...
Karim Mohammed Rezaul, Vic Grout