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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 8 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...
SC
2009
ACM
16 years 2 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
ICDCS
2008
IEEE
16 years 2 months ago
MR-PDP: Multiple-Replica Provable Data Possession
Many storage systems rely on replication to increase the availability and durability of data on untrusted storage systems. At present, such storage systems provide no strong evide...
Reza Curtmola, Osama Khan, Randal C. Burns, Giusep...
ICML
2004
IEEE
16 years 8 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
SASO
2010
IEEE
15 years 5 months ago
Extracting Overlay Invariants of Distributed Systems for Autonomic System Management
Many large-scale distributed systems have been built with great complexity to run Internet services. Due to the heterogeneity and dynamics of complex systems, it is very difficult ...
Hanhuai Shan, Guofei Jiang, Kenji Yoshihira