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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
WWW
2004
ACM
16 years 7 months ago
On mining webclick streams for path traversal patterns
Mining user access patterns from a continuous stream of Web-clicks presents new challenges over traditional Web usage mining in a large static Web-click database. Modeling user ac...
Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 7 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
ICISC
2004
169views Cryptology» more  ICISC 2004»
15 years 8 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
CVPR
2008
IEEE
16 years 8 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona