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» Efficient Testing of Forecasts
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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 3 months ago
Outlier detection by sampling with accuracy guarantees
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
Mingxi Wu, Chris Jermaine
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 3 months ago
Pattern-based similarity search for microarray data
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
Haixun Wang, Jian Pei, Philip S. Yu
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
16 years 3 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
133
Voted
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 3 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
106
Voted
CHI
2008
ACM
16 years 3 months ago
In-car interaction using search-based user interfaces
Increasing functionality, growing media volumes and dynamic data in today's in-vehicle information systems bear new challenges for user interaction design. Traditional hierar...
Stefan Graf, Wolfgang Spiessl, Albrecht Schmidt, A...