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» Large Scale Data Mining: Challenges and Responses
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PAKDD
2009
ACM
120views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Detecting Link Hijacking by Web Spammers.
Abstract. Since current search engines employ link-based ranking algorithms as an important tool to decide a ranking of sites, Web spammers are making a significant effort to man...
Masaru Kitsuregawa, Masashi Toyoda, Young-joo Chun...
ICPP
2006
IEEE
16 years 14 min ago
Adaptively Routing P2P Queries Using Association Analysis
Unstructured peer-to-peer networks have become a very popular method for content distribution in the past few years. By not enforcing strict rules on the network’s topology or c...
Brian D. Connelly, Christopher W. Bowron, Li Xiao,...
INFORMS
2010
177views more  INFORMS 2010»
15 years 4 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
ICCS
2003
Springer
15 years 11 months ago
Generalization of the Fast Consistency Algorithm to a Grid with Multiple High Demand Zones
Abstract. One of the main challenges of grid systems of large scale and data intensive is that of providing high availability and performance, in spite of the unreliability and del...
Jesús Acosta-Elías, Leandro Navarro-...
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 6 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...