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» Privacy protection on sliding window of data streams
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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 9 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
ICMCS
2006
IEEE
137views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Online Mining of Recent Music Query Streams
Mining multimedia data is one of the most important issues in data mining. In this paper, we propose an online one-pass algorithm to mine the set of frequent temporal patterns in ...
Hua-Fu Li, Chin-Chuan Ho, Man-Kwan Shan, Suh-Yin L...
ADBIS
2009
Springer
127views Database» more  ADBIS 2009»
14 years 2 months ago
Window Update Patterns in Stream Operators
Continuous queries applied over nonterminating data streams usually specify windows in order to obtain an evolving –yet restricted– set of tuples and thus provide timely result...
Kostas Patroumpas, Timos K. Sellis
ICDE
2008
IEEE
154views Database» more  ICDE 2008»
14 years 9 months ago
Butterfly: Protecting Output Privacy in Stream Mining
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
Ting Wang, Ling Liu
ISAAC
2004
Springer
117views Algorithms» more  ISAAC 2004»
14 years 1 months ago
Adaptive Spatial Partitioning for Multidimensional Data Streams
We propose a space-efficient scheme for summarizing multidimensional data streams. Our sketch can be used to solve spatial versions of several classical data stream queries effici...
John Hershberger, Nisheeth Shrivastava, Subhash Su...