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KDD
2001
ACM
192views Data Mining» more  KDD 2001»
15 years 10 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
ICDM
2007
IEEE
169views Data Mining» more  ICDM 2007»
15 years 1 months ago
Efficient Discovery of Frequent Approximate Sequential Patterns
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
ADMA
2005
Springer
143views Data Mining» more  ADMA 2005»
15 years 3 months ago
A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS)
: Artificial Immune Systems are a new class of algorithms inspired by how the immune system recognizes, attacks and remembers intruders. This is a fascinating idea, but to be accep...
Lingjun Meng, Peter van der Putten, Haiyang Wang
AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
14 years 11 months ago
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Zhipeng Xie
WWW
2007
ACM
15 years 10 months ago
Classifying web sites
In this paper, we present a novel method for the classification of Web sites. This method exploits both structure and content of Web sites in order to discern their functionality....
Christoph Lindemann, Lars Littig