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ICDE
2006
IEEE
108views Database» more  ICDE 2006»
16 years 27 days ago
On the Inverse Classification Problem and its Applications
In this paper, we discuss the inverse classification problem, in which we desire to define the features of an incomplete record in such a way that will result in a desired class l...
Charu C. Aggarwal, Chen Chen, Jiawei Han
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
15 years 3 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
ACSW
2004
15 years 28 days ago
Visualisation and Comparison of Image Collections based on Self-organised Maps
Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to...
Da Deng, Jianhua Zhang, Martin K. Purvis
EDM
2009
107views Data Mining» more  EDM 2009»
14 years 9 months ago
Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task
Recent research has suggested that differences between intelligent tutor lessons predict a large amount of the variance in the prevalence of gaming the system [4]. Within this pape...
Ryan Baker
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 2 days ago
Mining broad latent query aspects from search sessions
Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords ...
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera