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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 10 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
15 years 10 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
WWW
2009
ACM
15 years 10 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
AIIA
2003
Springer
15 years 2 months ago
Preprocessing and Mining Web Log Data for Web Personalization
We describe the web usage mining activities of an on-going project, called ClickWorld3 , that aims at extracting models of the navigational behaviour of a web site users. The model...
Miriam Baglioni, U. Ferrara, Andrea Romei, Salvato...
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
13 years 3 days ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li