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» Practical Preference Relations for Large Data Sets
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KDD
2009
ACM
189views Data Mining» more  KDD 2009»
16 years 8 days ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
201
Voted
IFIP
2005
Springer
15 years 11 months ago
Content-Based Image Retrieval for Digital Forensics
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be...
Yixin Chen, Vassil Roussev, Golden G. Richard III,...
BMCBI
2011
15 years 15 days ago
iPhy: an integrated phylogenetic workbench for supermatrix analyses
Background: The increasing availability of molecular sequence data means that the accuracy of future phylogenetic studies is likely to by limited by systematic bias and taxon choi...
Martin O. Jones, Georgios D. Koutsovoulos, Mark L....
VLDB
2008
ACM
127views Database» more  VLDB 2008»
16 years 5 months ago
Delay aware querying with Seaweed
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
16 years 5 days ago
A Framework for Computing the Privacy Scores of Users in Online Social Networks
—A large body of work has been devoted to address corporate-scale privacy concerns related to social networks. The main focus was on how to share social networks owned by organiz...
Kun Liu, Evimaria Terzi