Related references
Note: Only part of the references are listed.On the understanding of profiles by means of post-processing techniques: an application to financial assets
Karina Gibert et al.
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2016)
A survey on feature selection methods
Girish Chandrashekar et al.
COMPUTERS & ELECTRICAL ENGINEERING (2014)
Mixed intelligent- multivariate missing imputation
K. Gibert
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2014)
FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis
Md. Geaur Rahman et al.
KNOWLEDGE-BASED SYSTEMS (2014)
Missing values: how many can they be to preserve classification reliability?
Martti Juhola et al.
ARTIFICIAL INTELLIGENCE REVIEW (2013)
Using sensitivity analysis and visualization techniques to open black box data mining models
Paulo Cortez et al.
INFORMATION SCIENCES (2013)
A review of feature selection methods on synthetic data
Veronica Bolon-Canedo et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2013)
Massively parallel feature selection: an approach based on variance preservation
Zheng Zhao et al.
MACHINE LEARNING (2013)
Post-processing: Bridging the gap between modelling and effective decision-support. The profile assessment grid in human behaviour
K. Gibert et al.
MATHEMATICAL AND COMPUTER MODELLING (2013)
Effect of dietary flaxseed oil level on the growth performance and fatty acid composition of fingerlings of rainbow trout, Oncorhynchus mykiss
Ali Masiha et al.
SPRINGERPLUS (2013)
Multi-agent adaptive boosting on semi-supervised water supply clusters
M. Herrera et al.
ADVANCES IN ENGINEERING SOFTWARE (2012)
A Migratory Northern Ungulate in the Pursuit of Spring: Jumping or Surfing the Green Wave?
Richard Bischof et al.
AMERICAN NATURALIST (2012)
The role of organisms in hyporheic processes: gaps in current knowledge, needs for future research and applications
P. Marmonier et al.
ANNALES DE LIMNOLOGIE-INTERNATIONAL JOURNAL OF LIMNOLOGY (2012)
Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data
Kashif Javed et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study
Salvador Garcia et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
Cosmin Lazar et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2012)
On the choice of the best imputation methods for missing values considering three groups of classification methods
Julian Luengo et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2012)
Uncovering text mining: A survey of current work on web-based epidemic intelligence
Nigel Collier
GLOBAL PUBLIC HEALTH (2012)
Iterative stepwise regression imputation using standard and robust methods
Matthias Templ et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2011)
Empirical study of feature selection methods based on individual feature evaluation for classification problems
Antonio Arauzo-Azofra et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Multiple imputation by chained equations: what is it and how does it work?
Melissa J. Azur et al.
INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH (2011)
Reliability and Tolerance Comparison in Water Supply Networks
Jose B. Martinez-Rodriguez et al.
WATER RESOURCES MANAGEMENT (2011)
A study of the effect of different types of noise on the precision of supervised learning techniques
David F. Nettleton et al.
ARTIFICIAL INTELLIGENCE REVIEW (2010)
Knowledge discovery with clustering based on rules by states: A water treatment application
K. Gibert et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
Taximeter verification with GPS and soft computing techniques
Jose Villar et al.
SOFT COMPUTING (2010)
A Survey on Evolutionary Instance Selection and Generation
Joaqu-N Derrac et al.
INTERNATIONAL JOURNAL OF APPLIED METAHEURISTIC COMPUTING (2010)
Anomaly detection
Varun Chandola et al.
ACM COMPUTING SURVEYS (2009)
Missing Data Analysis: Making It Work in the Real World
John W. Graham
ANNUAL REVIEW OF PSYCHOLOGY (2009)
An improvement on floating search algorithms for feature subset selection
Songyot Nakariyakul et al.
PATTERN RECOGNITION (2009)
Feature selection with dynamic mutual information
Huawen Liu et al.
PATTERN RECOGNITION (2009)
GODIVA2: interactive visualization of environmental data on the Web
J. D. Blower et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2009)
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
Alberto Fernandez et al.
FUZZY SETS AND SYSTEMS (2008)
A latent Gaussian model for compositional data with zeros
Adam Butler et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2008)
Prototype reduction using an artificial immune model
Utpal Garain
PATTERN ANALYSIS AND APPLICATIONS (2008)
A memetic algorithm for evolutionary prototype selection:: A scaling up approach
Salvador Garcia et al.
PATTERN RECOGNITION (2008)
Impact of imputation of missing values on classification error for discrete data
Alireza Farhangfar et al.
PATTERN RECOGNITION (2008)
Opinion Mining and Sentiment Analysis
Bo Pang et al.
Foundations and Trends in Information Retrieval (2008)
Consistency measures for feature selection
Antonio Arauzo-Azofra et al.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2008)
A review of feature selection techniques in bioinformatics
Yvan Saeys et al.
BIOINFORMATICS (2007)
Fault detection in water supply systems using hybrid (theory and data-driven) modelling
J. Izquierdo et al.
MATHEMATICAL AND COMPUTER MODELLING (2007)
Power distribution fault cause identification with imbalanced data using the data mining-based fuzzy classification E-algorithm
Le Xu et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2007)
Missing data imputation through GTM as a mixture of t-distributions
Alfredo Vellido
NEURAL NETWORKS (2006)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
A clustering method for automatic biometric template selection
A Lumini et al.
PATTERN RECOGNITION (2006)
Maxdiff kd-trees for data condensation
BL Narayan et al.
PATTERN RECOGNITION LETTERS (2006)
Can one assess whether missing data are missing at random in medical studies?
Richard F. Potthoff et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2006)
The nearest subclass classifier: A compromise between the nearest mean and nearest neighbor classifier
CJ Veenman et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
A divide-and-conquer approach to the pairwise opposite class-nearest neighbor (POC-NN) algorithm
T Raicharoen et al.
PATTERN RECOGNITION LETTERS (2005)
The relevance of aggregating a water consumption model cannot be disconnected from the choice of information available on the resource
M Edwards et al.
SIMULATION MODELLING PRACTICE AND THEORY (2005)
Toward integrating feature selection algorithms for classification and clustering
H Liu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)
A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models
A Alexandridis et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2005)
Missing value estimation for DNA microarray gene expression data: local least squares imputation
H Kim et al.
BIOINFORMATICS (2005)
Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design
SK Oh et al.
FUZZY SETS AND SYSTEMS (2004)
Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes
CF Juang
FUZZY SETS AND SYSTEMS (2004)
Consistency-based search in feature selection
M Dash et al.
ARTIFICIAL INTELLIGENCE (2003)
Using evolutionary algorithms as instance selection for data reduction in KDD: An experimental study
JR Cano et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2003)
Short-term water level prediction using neural networks and neuro-fuzzy approach
B Bazartseren et al.
NEUROCOMPUTING (2003)
Long-term fuzzy management of water resource systems
RM Faye et al.
APPLIED MATHEMATICS AND COMPUTATION (2003)
Finding representative patterns with ordered projections
JC Riquelme et al.
PATTERN RECOGNITION (2003)
Increasing sensitivity of preterm birth by changing rule strengths
JW Grzymala-Buuse et al.
PATTERN RECOGNITION LETTERS (2003)
An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering
RA Mollineda et al.
PATTERN RECOGNITION (2002)
Optimal reference subset selection for nearest neighbor classification by tabu search
HB Zhang et al.
PATTERN RECOGNITION (2002)
Advances in instance selection for instance-based learning algorithms
H Brighton et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2002)
A unifying view on instance selection
T Reinartz
DATA MINING AND KNOWLEDGE DISCOVERY (2002)
Ecological responses to recent climate change
GR Walther et al.
NATURE (2002)
Input feature selection for classification problems
N Kwak et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)
Unsupervised feature selection using feature similarity
P Mitra et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)
Nearest prototype classifier designs: An experimental study
JC Bezdek et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2001)
Environmental risk and (re)action: air quality, health, and civic involvement in an urban industrial neighbourhood
SEL Wakefield et al.
HEALTH & PLACE (2001)
Another move toward the minimum consistent subset:: A tabu search approach to the condensed nearest neighbor rule
V Cerverón et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2001)
Transferring case knowledge to adaptation knowledge: An approach for case-base maintenance
SCK Shiu et al.
COMPUTATIONAL INTELLIGENCE (2001)
Robust classification for imprecise environments
F Provost et al.
MACHINE LEARNING (2001)
Reduction techniques for instance-based learning algorithms
DR Wilson et al.
MACHINE LEARNING (2000)
A fuzzy model of heavy metal loadings in Liverpool bay
LI Kuncheva et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2000)