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» Experiments with a New Boosting Algorithm
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KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 3 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
CHI
2007
ACM
16 years 3 months ago
An interface to support color blind computer users
A new method for adapting digital images so that they are suitable for color blind viewers is presented. In contrast to earlier automatic methods which formulate the problem of ad...
Luke Jefferson, Richard Harvey
CHI
2004
ACM
16 years 3 months ago
Designing a compelling user interface for morphing
We present a new user interface for the common morphing tool found in animation packages. Previously this interface has been based on the features of the underlying algorithm, wit...
David Vronay, Shuo Wang
VLDB
2007
ACM
181views Database» more  VLDB 2007»
16 years 3 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
16 years 3 months ago
M-invariance: towards privacy preserving re-publication of dynamic datasets
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
Xiaokui Xiao, Yufei Tao