相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification
Sergio Ramirez-Gallego et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
A novel approach for discretization of continuous attributes in rough set theory
Feng Jiang et al.
KNOWLEDGE-BASED SYSTEMS (2015)
Classification-driven temporal discretization of multivariate time series
Robert Moskovitch et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2015)
Unsupervised interaction-preserving discretization of multivariate data
Hoang-Vu Nguyen et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2014)
Data Mining with Big Data
Xindong Wu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)
On the use of MapReduce for imbalanced big data using Random Forest
Sara del Rio et al.
INFORMATION SCIENCES (2014)
An effective discretization method for disposing high-dimensional data
Yu Sang et al.
INFORMATION SCIENCES (2014)
Scalable CAIM discretization on multiple GPUs using concurrent kernels
Alberto Cano et al.
JOURNAL OF SUPERCOMPUTING (2014)
Incremental filter and wrapper approaches for feature discretization
Artur J. Ferreira et al.
NEUROCOMPUTING (2014)
A new approach for discretizing continuous attributes in learning systems
Deqin Yan et al.
NEUROCOMPUTING (2014)
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks
Alberto Fernandez et al.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2014)
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning
Salvador Garcia et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
A DISCRETIZATION METHOD BASED ON MAXIMIZING THE AREA UNDER RECEIVER OPERATING CHARACTERISTIC CURVE
Murat Kurtcephe et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2013)
A new discretization algorithm based on range coefficient of dispersion and skewness for neural networks classifier
M. Gethsiyal Augasta et al.
APPLIED SOFT COMPUTING (2012)
EDISC: A Class-Tailored Discretization Technique for Rule-Based Classification
Khurram Shehzad
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)
An unsupervised approach to feature discretization and selection
Artur J. Ferreira et al.
PATTERN RECOGNITION (2012)
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset
V. Bolon-Canedo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
An effective discretization based on Class-Attribute Coherence Maximization
Min Li et al.
PATTERN RECOGNITION LETTERS (2011)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
Ameva: An autonomous discretization algorithm
L. Gonzalez-Abril et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
A Dynamic Discretization Approach for Constructing Decision Trees with a Continuous Label
Hsiao-Wei Hu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)
Data discretization unification
Ruoming Jin et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2009)
Discretization for naive-Bayes learning: managing discretization bias and variance
Ying Yang et al.
MACHINE LEARNING (2009)
KEEL: a software tool to assess evolutionary algorithms for data mining problems
J. Alcala-Fdez et al.
SOFT COMPUTING (2009)
IDD: A supervised interval distance-based method for discretization
Francisco J. Ruiz et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2008)
A discretization algorithm based on Class-Attribute Contingency Coefficient
Cheng-Jung Tsai et al.
INFORMATION SCIENCES (2008)
A Hellinger-based discretization method for numeric attributes in classification learning
Chang-Hwan Lee
KNOWLEDGE-BASED SYSTEMS (2007)
A distribution-index-based discretizer for decision-making with symbolic AI approaches
QingXiang Wu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2007)
MODL:: A Bayes optimal discretization method for continuous attributes
Marc Boulle
MACHINE LEARNING (2006)
A fuzzy approach to partitioning continuous attributes for classification
WH Au et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2006)
A discretization algorithm based on a heterogeneity criterion
XY Liu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)
Toward unsupervised correlation preserving discretization
S Mehta et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)
An extended Chi2 algorithm for discretization of real value attributes
CT Su et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)
Khiops: A statistical discretization method of continuous attributes
M Boulle
MACHINE LEARNING (2004)
CAIM discretization algorithm
LA Kurgan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)
Discretization: An enabling technique
H Liu et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2002)
A modified Chi2 algorithm for discretization
FEH Tay et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2002)
分享论文
