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» Detecting Change in Data Streams
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CIDM
2007
IEEE
14 years 2 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
ICMCS
2006
IEEE
91views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Detecting Changes in User-Centered Music Query Streams
In this paper, we propose an efficient algorithm, called MQSchange (changes of Music Query Streams), to detect the changes of maximal melody structures in user-centered music quer...
Hua-Fu Li, Man-Kwan Shan, Suh-Yin Lee
CIKM
2009
Springer
14 years 2 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
IPPS
2000
IEEE
14 years 22 hour ago
ACDS: Adapting Computational Data Streams for High Performance
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
Carsten Isert, Karsten Schwan