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» On Issues of Instance Selection
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KDD
1998
ACM
181views Data Mining» more  KDD 1998»
14 years 24 days ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 10 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
ICML
2001
IEEE
14 years 9 months ago
Inducing Partially-Defined Instances with Evolutionary Algorithms
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...
Josep Maria Garrell i Guiu, Xavier Llorà
CHI
1996
ACM
14 years 22 days ago
The Zephyr Help Instance: Promoting Ongoing Activity in a CSCW System
If Computer-Supported Cooperative Work (CSCW) systems are to be successful over time, it will be necessary to promote ongoing and continuing activity, not just initial adoption. I...
Mark S. Ackerman, Leysia Palen
NCA
2007
IEEE
13 years 8 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek