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ICDE
2007
IEEE
143views Database» more  ICDE 2007»
14 years 9 months ago
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking
We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...
Feifei Li, Jimeng Sun, Spiros Papadimitriou, Georg...
NLDB
2004
Springer
14 years 1 months ago
Synonymous Paraphrasing Using WordNet and Internet
We propose a method of synonymous paraphrasing of a text based on WordNet synonymy data and Internet statistics of stable word combinations (collocations). Given a text, we look fo...
Igor A. Bolshakov, Alexander F. Gelbukh
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
LOCWEB
2009
ACM
14 years 10 days ago
Hiding the complexity of LBS
While the demand for Location-based Services (LBS) is strongly increasing, technical laymen are not yet able to build and provide location-aware applications. This paper presents ...
Matthias Böhmer, Gernot Bauer, Wolfgang Wicht
IPPS
2008
IEEE
14 years 2 months ago
A transparent non-invasive file data model for algorithmic skeletons
A file data model for algorithmic skeletons is proposed, focusing on transparency and efficiency. Algorithmic skeletons correspond to a high-level programming model that takes a...
Denis Caromel, Mario Leyton