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AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
13 years 7 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
ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
Yanbo J. Wang, Qin Xin, Frans Coenen
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
13 years 9 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
CORR
2010
Springer
214views Education» more  CORR 2010»
13 years 5 months ago
Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
P. Rajendran, M. Madheswaran
PAAMS
2010
Springer
13 years 3 months ago
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...
Juan Luis Olmo, Jose María Luna, José...