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» Symbolic data analysis tools for recommendation systems
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CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 6 months ago
Viewpoints: A high-performance high-dimensional exploratory data analysis tool
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
Paul R. Gazis, C. Levit, Michael J. Way
ECAI
2006
Springer
13 years 11 months ago
How to Analyze Free Text Descriptions for Recommending TV Programmes?
ct This paper presents an approach to exploit free text descriptions of TV programmes as available from EPG data sets for a recommendation system that takes the content of programm...
Bernd Ludwig, Stefan Mandl
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 6 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
SIGOPS
2010
162views more  SIGOPS 2010»
13 years 6 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
ISSTA
2009
ACM
14 years 2 months ago
Loop-extended symbolic execution on binary programs
Mixed concrete and symbolic execution is an important technique for finding and understanding software bugs, including securityrelevant ones. However, existing symbolic execution...
Prateek Saxena, Pongsin Poosankam, Stephen McCaman...