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KDD
2000
ACM
101views Data Mining» more  KDD 2000»
13 years 11 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
IDA
2007
Springer
13 years 7 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
VDA
2010
206views Visualization» more  VDA 2010»
13 years 10 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
13 years 11 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
11 years 10 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...