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KDD
2003
ACM
160views Data Mining» more  KDD 2003»
16 years 6 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
SOFTVIS
2010
ACM
15 years 6 months ago
Embedding spatial software visualization in the IDE: an exploratory study
Software visualization can be of great use for understanding and exploring a software system in an intuitive manner. Spatial representation of software is a promising approach of ...
Adrian Kuhn, David Erni, Oscar Nierstrasz
CSCW
2006
ACM
16 years 20 hour ago
Don't look stupid: avoiding pitfalls when recommending research papers
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan
SIGIR
2009
ACM
16 years 17 days ago
Dynamicity vs. effectiveness: studying online clustering for scatter/gather
We proposed and implemented a novel clustering algorithm called LAIR2, which has constant running time average for on-the-fly Scatter/Gather browsing [4]. Our experiments showed ...
Weimao Ke, Cassidy R. Sugimoto, Javed Mostafa
CHI
2005
ACM
16 years 6 months ago
QueryLines: approximate query for visual browsing
We introduce approximate query techniques for searching and analyzing two-dimensional data sets such as line or scatter plots. Our techniques allow users to explore a dataset by d...
Kathy Ryall, Neal Lesh, Tom Lanning, Darren Leigh,...