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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
WWW
2010
ACM
16 years 1 months ago
Visual structure-based web page clustering and retrieval
Clustering and retrieval of web pages dominantly relies on analyzing either the content of individual web pages or the link structure between them. Some literature also suggests t...
Paul Bohunsky, Wolfgang Gatterbauer
ACSAC
2009
IEEE
16 years 1 months ago
Privacy through Noise: A Design Space for Private Identification
To protect privacy in large systems, users must be able to authenticate against a central server without disclosing their identity to the network. Private identification protocols ...
Karsten Nohl, David Evans
BIBE
2009
IEEE
126views Bioinformatics» more  BIBE 2009»
16 years 1 months ago
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Sinan Kockara