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» From Algorithmic to Subjective Randomness
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194
Voted
WWW
2007
ACM
16 years 8 months ago
U-REST: an unsupervised record extraction system
In this paper, we describe a system that can extract record structures from web pages with no direct human supervision. Records are commonly occurring HTML-embedded data tuples th...
Yuan Kui Shen, David R. Karger
199
Voted
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
216
Voted
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 7 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 7 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
187
Voted
ICSE
2005
IEEE-ACM
16 years 7 months ago
Object naming analysis for reverse-engineered sequence diagrams
UML sequence diagrams are commonly used to represent object interactions in software systems. This work considers the problem of extracting UML sequence diagrams from existing cod...
Atanas Rountev, Beth Harkness Connell