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» Mining Very Large Databases
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DEXAW
2005
IEEE
138views Database» more  DEXAW 2005»
14 years 3 months ago
Towards a Better Integration of Data Mining and Decision Support via Computational Intelligence
Despite a high level of activity and a large number of researchers involved, current research in data mining is plagued with several serious problems that should be regarded as to...
Sylvain Delisle
BMCBI
2004
126views more  BMCBI 2004»
13 years 9 months ago
Visualising very large phylogenetic trees in three dimensional hyperbolic space
Background: Common existing phylogenetic tree visualisation tools are not able to display readable trees with more than a few thousand nodes. These existing methodologies are base...
Timothy Hughes, Young Hyun, David A. Liberles
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 4 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
NIPS
2001
13 years 11 months ago
A Parallel Mixture of SVMs for Very Large Scale Problems
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
Ronan Collobert, Samy Bengio, Yoshua Bengio
ISPD
1998
ACM
111views Hardware» more  ISPD 1998»
14 years 2 months ago
A pattern matching algorithm for verification and analysis of very large IC layouts
We propose a simple, isometry invariant pattern matching algorithm for an effective data reduction useful in layout-related data processing of very complex IC designs. The repeata...
Mariusz Niewczas, Wojciech Maly, Andrzej J. Strojw...