New reduction algorithm for discretization of continuous features

Kongzhi yu Juece/Control and Decision

Volumn 17, Issue 5, 2002, Pages 545-549

  Liu, Zhen Yu ^a   Guo, Bao Long ^a   Yang, Lin Yao ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Data mining; Discretization; Reduction algorithm; Rough set theory

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; HEURISTIC METHODS; ROUGH SET THEORY;

ATTRIBUTE FREQUENCY FUNCTIONS; CANDIDATE CORES; CONTINUOUS FEATURES; DISCRETIZATION; NGUYEN SKOWRON ALGORITHMS; REDUCTION ALGORITHMS;

DATA MINING;

EID: 0036758159     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Dougherty J, Kohavi R, Sahami M. Supervised and unsupervised discretization of continuous features [A]. Proc of 12th ICML [C]. Morgan: Kauffman Publishers, 1995. 194-202.
2. Nguyen H S. Discretization of real value attributes: A boolean reasoning approach [D]. Warsaw: University of Poland, 1997.
3. Hu Keyun. Research on concept lattice and rough set based data mining methods [D]. Beijing: Tsinghua University, 2001.
4. Hu X.H. Knowledgediscovery in databases: An attribute-oriented rough set approach [D]. Regina: University of Regina, 1995.
5. Ronny Kohavi, Dan Sommerfield. MLC++: Machine learning library in C++ [CP/DK]. http://www.sgi.com/technology/mlc, 2001-06-01.
6. M Gawrys, J Sienkiewicz. rough set library user's manual [CP/DK]. ftp://ftp.ii.pw.edu.pl/pub/Rough/,1993-09-16/2001-05-08.