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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 8 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
ICPPW
2006
IEEE
16 years 15 days ago
A First Look at the Properties of Many-to-One Data Flows
With the rapid emergence of peer-to-peer applications, more and more applications will generate many-to-one rather than one-to-one traffic flows. While a number of previous works ...
V. T. Sam, P. Y. Ho, Jack Y. B. Lee
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
16 years 6 months ago
Reconstructing chemical reaction networks: data mining meets system identification
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Yong Ju Cho, Naren Ramakrishnan, Yang Cao
PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
ICTAI
2007
IEEE
16 years 24 days ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi