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» Using Probabilistic Information in Data Integration
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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
BMCBI
2006
116views more  BMCBI 2006»
13 years 9 months ago
Integrative missing value estimation for microarray data
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
Jianjun Hu, Haifeng Li, Michael S. Waterman, Xiang...
ITCC
2003
IEEE
14 years 2 months ago
Timed Petri Net Representation of the Synchronized Multimedia Integration Language (SMIL) of XML
A multimedia server needs to satisfy the temporal ordering of multimedia data streams when servicing a client. Multimedia data has high bandwidth requirements, and within a networ...
Soon Myoung Chung, Anil L. Pereira
DAMON
2008
Springer
13 years 10 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
ICNP
2005
IEEE
14 years 2 months ago
Trading Precision for Stability in Congestion Control with Probabilistic Packet Marking
In pricing-based congestion control protocols it is common to assume that the rate of congestion feedback from the network is limited to a single bit per packet. To obtain a preci...
Jonathan K. Shapiro, C. V. Hollot, Donald F. Towsl...