Sciweavers

569 search results - page 16 / 114
» An Overview of Associative Classifiers
Sort
View
FLAIRS
2007
15 years 4 months ago
An Extended Neural Gas Model for Efficient Data Mining Tasks
This paper presents a numerical association rule extraction method that is based on original quality measures which evaluate to what extent a numerical classification model behave...
Jean-Charles Lamirel, Shadi Al Shehabi
129
Voted
MLDM
2007
Springer
15 years 8 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
ICPR
2008
IEEE
16 years 3 months ago
Efficient implementation of SVM for large class problems
Multiclass classification is an important problem in pattern recognition. Hierarchical SVM classifiers such as DAG-SVM and BHC-SVM are popular in solving multiclass problems. Howe...
Prabakaran Ilayaraja, N. V. Neeba, C. V. Jawahar
BMCBI
2010
115views more  BMCBI 2010»
15 years 2 months ago
CONAN: copy number variation analysis software for genome-wide association studies
Background: Genome-wide association studies (GWAS) based on single nucleotide polymorphisms (SNPs) revolutionized our perception of the genetic regulation of complex traits and di...
Lukas Forer, Sebastian Schönherr, Hansi Wei&s...
97
Voted
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
16 years 2 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava