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CIB
2004
57views more  CIB 2004»
15 years 6 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
DEXA
2011
Springer
263views Database» more  DEXA 2011»
14 years 6 months ago
Sampling the National Deep Web
A huge portion of today’s Web consists of web pages filled with information from myriads of online databases. This part of the Web, known as the deep Web, is to date relatively ...
Denis Shestakov
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
16 years 23 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 4 days ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
ICA
2010
Springer
15 years 7 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...