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PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
15 years 10 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
IDA
2005
Springer
15 years 9 months ago
From Local Pattern Mining to Relevant Bi-cluster Characterization
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
Ruggero G. Pensa, Jean-François Boulicaut
HICSS
2006
IEEE
105views Biometrics» more  HICSS 2006»
15 years 10 months ago
Unified Information Models in Support of Location Transparency for Future Utility Applications
For future scenarios of power system operations, like the self healing grid vision, system and communications architecture are key. Applications will require unlimited access to a...
Otto Preiss, Tatjana Kostic
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 4 months ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
NTMS
2009
IEEE
15 years 11 months ago
A Comprehensive Reference Architecture for Trustworthy Long-Term Archiving of Sensitive Data
Abstract—It is well known that the suitability of many cryptographic algorithms decreases with time. Hence, it is a challenging task to maintain the integrity, authenticity, conï...
Detlef Hühnlein, Ulrike Korte, Lucie Langer, ...