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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 5 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
KDD
2001
ACM
211views Data Mining» more  KDD 2001»
16 years 5 months ago
Magical thinking in data mining: lessons from CoIL challenge 2000
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...
Charles Elkan
CHI
2008
ACM
16 years 5 months ago
Electronic voting machines versus traditional methods: improved preference, similar performance
In the 2006 U.S. election, it was estimated that over 66 million people would be voting on direct recording electronic (DRE) systems in 34% of the nation's counties [8]. Alth...
Sarah P. Everett, Kristen K. Greene, Michael D. By...
CHI
2007
ACM
16 years 5 months ago
Mobile interaction with visual and RFID tags: a field study on user perceptions
In this paper, we present a study of user perceptions on mobile interaction with visual and RFID tags. Although mobile interaction with tags has been proposed in several earlier s...
Dan Greenblatt, Jonna Häkkilä, Kaj M&aum...
CHI
2007
ACM
16 years 5 months ago
Comedia: mobile group media for active spectatorship
Previous attempts to support spectators at large-scale events have concentrated separately on real-time event information, awareness cues, or media-sharing applications. CoMedia c...
Giulio Jacucci, Antti Oulasvirta, Tommi Ilmonen, J...