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ICFP
2009
ACM
15 years 10 months ago
Causal commutative arrows and their optimization
re a popular form of abstract computation. Being more general than monads, they are more broadly applicable, and in parare a good abstraction for signal processing and dataflow co...
Hai Liu, Eric Cheng, Paul Hudak
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
2008
ACM
147views Data Mining» more  KDD 2008»
15 years 9 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 9 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICDE
2010
IEEE
251views Database» more  ICDE 2010»
15 years 9 months ago
Viewing a World of Annotations through AnnoVIP
The proliferation of electronic content has notably lead to the apparition of large corpora of interrelated structured documents (such as HTML and XML Web pages) and semantic annot...
Konstantinos Karanasos, Spyros Zoupanos