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» Aggregate Evaluability in Statistical Databases
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86
Voted
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
67
Voted
EDBT
2008
ACM
111views Database» more  EDBT 2008»
15 years 9 months ago
Micro-aggregation-based heuristics for p-sensitive k-anonymity: one step beyond
Micro-data protection is a hot topic in the field of Statistical Disclosure Control (SDC), that has gained special interest after the disclosure of 658000 queries by the AOL searc...
Agusti Solanas, Francesc Sebé, Josep Doming...
EDBT
2010
ACM
149views Database» more  EDBT 2010»
15 years 2 months ago
Statistics-based parallelization of XPath queries in shared memory systems
The wide availability of commodity multi-core systems presents an opportunity to address the latency issues that have plaqued XML query processing. However, simply executing multi...
Rajesh Bordawekar, Lipyeow Lim, Anastasios Kements...
97
Voted
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 1 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
WSNA
2003
ACM
15 years 2 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath