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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 7 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 7 months ago
Detecting time series motifs under uniform scaling
Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection...
Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bil...
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 7 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
KDD
2007
ACM
227views Data Mining» more  KDD 2007»
16 years 7 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
KDD
2007
ACM
566views Data Mining» more  KDD 2007»
16 years 7 months ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
KDD
2007
ACM
142views Data Mining» more  KDD 2007»
16 years 7 months ago
Privacy-preservation for gradient descent methods
Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Le...
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 7 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
136
Voted
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
16 years 7 months ago
Making generative classifiers robust to selection bias
Andrew T. Smith, Charles Elkan
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 7 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
KDD
2007
ACM
146views Data Mining» more  KDD 2007»
16 years 7 months ago
Event summarization for system management
Wei Peng, Charles Perng, Tao Li, Haixun Wang