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ISMIS
2009
Springer
16 years 1 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
15 years 8 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
SDM
2008
SIAM
158views Data Mining» more  SDM 2008»
15 years 8 months ago
Similarity Measures for Categorical Data: A Comparative Evaluation
Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relative...
Shyam Boriah, Varun Chandola, Vipin Kumar
DASFAA
2006
IEEE
153views Database» more  DASFAA 2006»
16 years 16 days ago
DAPSS: Exact Subsequence Matching for Data Streams
There is much interest in the processing of data streams for applications in the fields such as financial analysis, network monitoring, mobile services, and sensor network manage...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
16 years 15 days ago
Deriving Private Information from Perturbed Data Using IQR Based Approach
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Songtao Guo, Xintao Wu, Yingjiu Li