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KDD
2006
ACM
167views Data Mining» more  KDD 2006»
16 years 6 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 6 months ago
V-Miner: using enhanced parallel coordinates to mine product design and test data
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 6 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 6 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
CHI
2008
ACM
16 years 6 months ago
Talc: using desktop graffiti to fight software vulnerability
With the proliferation of computer security threats on the Internet, especially threats such as worms that automatically exploit software flaws, it is becoming more and more impor...
Kandha Sankarpandian, Travis Little, W. Keith Edwa...
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