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» Tight results for clustering and summarizing data streams
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PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
13 years 3 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 6 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
BMCBI
2008
102views more  BMCBI 2008»
13 years 4 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
EDBT
2006
ACM
150views Database» more  EDBT 2006»
14 years 4 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal
WAIM
2007
Springer
13 years 11 months ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...