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» Differencing Data Streams
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116
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CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 2 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
KDD
2000
ACM
95views Data Mining» more  KDD 2000»
15 years 6 months ago
Hancock: a language for extracting signatures from data streams
Corinna Cortes, Kathleen Fisher, Daryl Pregibon, A...
CBMS
2006
IEEE
15 years 8 months ago
An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, ...
Hyoil Han, Han C. Ryoo, Herbert Patrick
109
Voted
PAKDD
2005
ACM
146views Data Mining» more  PAKDD 2005»
15 years 8 months ago
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
124
Voted
ACSW
2004
15 years 4 months ago
Clustering Stream Data by Regression Analysis
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya