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KDD
2007
ACM
566views Data Mining» more  KDD 2007»
15 years 26 days 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»
15 years 26 days 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»
15 years 26 days 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
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
15 years 26 days ago
Making generative classifiers robust to selection bias
Andrew T. Smith, Charles Elkan
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
15 years 26 days 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»
15 years 26 days ago
Event summarization for system management
Wei Peng, Charles Perng, Tao Li, Haixun Wang
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
15 years 26 days ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 26 days ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
15 years 26 days ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
15 years 26 days ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi