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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 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...
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 8 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
14 years 8 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
CHI
2005
ACM
14 years 8 months ago
The future of user interface design tools
This workshop aims to gather researchers in the field of user interface design tools to identify important themes for the next decade of research. These tools aid in the design an...
Dan R. Olsen, Scott R. Klemmer
HPCA
2008
IEEE
14 years 8 months ago
Uncovering hidden loop level parallelism in sequential applications
As multicore systems become the dominant mainstream computing technology, one of the most difficult challenges the industry faces is the software. Applications with large amounts ...
Hongtao Zhong, Mojtaba Mehrara, Steven A. Lieberma...
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