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KDD
2009
ACM
142views Data Mining» more  KDD 2009»
16 years 2 months ago
Quantification and semi-supervised classification methods for handling changes in class distribution
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
Jack Chongjie Xue, Gary M. Weiss
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
16 years 1 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
16 years 1 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 1 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
CHI
2007
ACM
16 years 1 months ago
SciNews online: scaffolding the construction of scientific explanations
Middle and high-school science teachers have traditionally introduced current events in the classroom to leverage news topics relevant to the curriculum, such as the Sumatra Tsuna...
Sebastian de la Chica