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» Mining Very Large Databases
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ICASSP
2011
IEEE
13 years 1 months ago
Speaker verification using sparse representation classification
Sparse representations of signals have received a great deal of attention in recent years, and the sparse representation classifier has very lately appeared in a speaker recogniti...
Jia Min Karen Kua, Eliathamby Ambikairajah, Julien...
EDBT
2012
ACM
266views Database» more  EDBT 2012»
12 years 11 days ago
Stormy: an elastic and highly available streaming service in the cloud
In recent years, new highly scalable storage systems have significantly contributed to the success of Cloud Computing. Systems like Dynamo or Bigtable have underpinned their abil...
Simon Loesing, Martin Hentschel, Tim Kraska, Donal...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 10 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
KDD
2007
ACM
193views Data Mining» more  KDD 2007»
14 years 10 months ago
Joint optimization of wrapper generation and template detection
Many websites have large collections of pages generated dynamically from an underlying structured source like a database. The data of a category are typically encoded into similar...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu
CAISE
2007
Springer
14 years 4 months ago
Declarative XML Data Cleaning with XClean
Data cleaning is the process of correcting anomalies in a data source, that may for instance be due to typographical errors, or duplicate representations of an entity. It is a cruc...
Melanie Weis, Ioana Manolescu