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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 6 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
16 years 1 months ago
Accurate Estimation of the Degree Distribution of Private Networks
—We describe an efficient algorithm for releasing a provably private estimate of the degree distribution of a network. The algorithm satisfies a rigorous property of differenti...
Michael Hay, Chao Li, Gerome Miklau, David Jensen
CORR
2002
Springer
104views Education» more  CORR 2002»
15 years 6 months ago
Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma
KDD
2003
ACM
114views Data Mining» more  KDD 2003»
16 years 6 months ago
Information awareness: a prospective technical assessment
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
David Jensen, Matthew J. Rattigan, Hannah Blau
MASS
2010
157views Communications» more  MASS 2010»
15 years 4 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl