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132
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ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
15 years 8 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
109
Voted
ICDM
2006
IEEE
133views Data Mining» more  ICDM 2006»
15 years 8 months ago
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
François Fouss, Luh Yen, Alain Pirotte, Mar...
108
Voted
ICDM
2006
IEEE
111views Data Mining» more  ICDM 2006»
15 years 8 months ago
Social Capital in Friendship-Event Networks
In this paper, we examine a particular form of social network which we call a friendship-event network. A friendship-event network captures both the friendship relationship among ...
Louis Licamele, Lise Getoor
96
Voted
ICDM
2006
IEEE
93views Data Mining» more  ICDM 2006»
15 years 8 months ago
Comparisons of K-Anonymization and Randomization Schemes under Linking Attacks
Recently K-anonymity has gained popularity as a privacy quantification against linking attacks, in which attackers try to identify a record with values of some identifying attrib...
Zhouxuan Teng, Wenliang Du
162
Voted
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
15 years 8 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
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