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ICDE
2007
IEEE
143views Database» more  ICDE 2007»
16 years 6 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
15 years 10 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»
16 years 5 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
15 years 9 months 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
15 years 11 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