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KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 8 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
231
Voted
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 8 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
238
Voted
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
16 years 8 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
192
Voted
CHI
2008
ACM
16 years 8 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz
213
Voted
CHI
2007
ACM
16 years 8 months ago
Modeling and understanding students' off-task behavior in intelligent tutoring systems
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
Ryan Shaun Joazeiro de Baker