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» Classes and clusters in data analysis
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CHI
1997
ACM
15 years 10 months ago
Computational Models of Information Scent-Following in a Very Large Browsable Text Collection
An ecological-cognitive framework of analysis and a model-tracing architecture are presented and used in the analysis of data recorded from users browsing a large document collect...
Peter Pirolli
UAI
2001
15 years 8 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
EDM
2008
129views Data Mining» more  EDM 2008»
15 years 8 months ago
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study
In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasily...
PPOPP
1999
ACM
15 years 11 months ago
MagPIe: MPI's Collective Communication Operations for Clustered Wide Area Systems
Writing parallel applications for computational grids is a challenging task. To achieve good performance, algorithms designed for local area networks must be adapted to the differ...
Thilo Kielmann, Rutger F. H. Hofman, Henri E. Bal,...
CCGRID
2010
IEEE
15 years 4 months ago
File-Access Characteristics of Data-Intensive Workflow Applications
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
Takeshi Shibata, SungJun Choi, Kenjiro Taura