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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 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...
ESCIENCE
2006
IEEE
16 years 26 days ago
Job Failure Analysis and Its Implications in a Large-Scale Production Grid
In this paper we present an initial analysis of job failures in a large-scale data-intensive Grid. Based on three representative periods in production, we characterize the interar...
Hui Li, David L. Groep, Lex Wolters, Jeffrey Templ...
IJMMS
2007
166views more  IJMMS 2007»
15 years 6 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...
CVPR
2007
IEEE
16 years 8 months ago
Object retrieval with large vocabularies and fast spatial matching
In this paper, we present a large-scale object retrieval system. The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of i...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
SIGMOD
2011
ACM
241views Database» more  SIGMOD 2011»
14 years 9 months ago
Neighborhood based fast graph search in large networks
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labe...
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriy...