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ICDM
2008
IEEE
135views Data Mining» more  ICDM 2008»
15 years 8 months ago
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difï¬...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
DATE
2005
IEEE
204views Hardware» more  DATE 2005»
15 years 7 months ago
Evaluation of Error-Resilience for Reliable Compression of Test Data
This paper addresses error-resilience as the capability to tolerate bit-flips in a compressed test data stream (which is transferred from an Automatic Test Equipment (ATE) to the...
Hamidreza Hashempour, Luca Schiano, Fabrizio Lomba...
243
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SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 4 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
CIKM
2009
Springer
15 years 5 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
DIS
2009
Springer
15 years 8 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...