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KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
16 years 7 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
16 years 7 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
CHI
2007
ACM
16 years 7 months ago
Software or wetware?: discovering when and why people use digital prosthetic memory
Our lives are full of memorable and important moments, as well as important items of information. The last few years have seen the proliferation of digital devices intended to sup...
Steve Whittaker, Vaiva Kalnikaité
CHI
2006
ACM
16 years 7 months ago
Error correction of voicemail transcripts in SCANMail
Despite its widespread use, voicemail presents numerous usability challenges: People must listen to messages in their entirety, they cannot search by keywords, and audio files do ...
Moira Burke, Brian Amento, Philip L. Isenhour
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