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» Online Amnesic Approximation of Streaming Time Series
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EDBT
2004
ACM
110views Database» more  EDBT 2004»
14 years 7 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
ICMCS
2005
IEEE
158views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Processor Load Analysis for Mobile Multimedia Streaming: The Implication of Power Reduction
The software codec on mobile device introduces significant power consumption because the energy efficiency of general processor based system is much lower than that of the dedicat...
Min Li, Xiaobo Wu, Zihua Guo, Richard Yao, Xiaolan...
JIIS
2007
150views more  JIIS 2007»
13 years 7 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
EDBT
2010
ACM
156views Database» more  EDBT 2010»
13 years 10 months ago
Pattern detector: fast detection of suspicious stream patterns for immediate reaction
Detecting emerging problems in information and manufacturing systems is the goal of monitoring tools. Good and timely detection of problematic conditions from measured indicators ...
Ira Assent, Hardy Kremer, Stephan Günnemann, ...