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DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 9 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
TAMC
2009
Springer
14 years 2 months ago
Preserving Privacy versus Data Retention
The retention of communication data has recently attracted much public interest, mostly because of the possibility of its misuse. In this paper, we present protocols that address ...
Markus Hinkelmann, Andreas Jakoby
KES
2008
Springer
13 years 8 months ago
Privacy Risks in Trajectory Data Publishing: Reconstructing Private Trajectories from Continuous Properties
Abstract. Location and time information about individuals can be captured through GPS devices, GSM phones, RFID tag readers, and by other similar means. Such data can be pre-proces...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 8 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
RAID
2000
Springer
13 years 11 months ago
Transaction-Based Pseudonyms in Audit Data for Privacy Respecting Intrusion Detection
Abstract. Privacy and surveillance by intrusion detection are potentially conflicting organizational and legal requirements. In order to support a balanced solution, audit data is ...
Joachim Biskup, Ulrich Flegel