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Feature selection for classification tasks: Expert knowledge or traditional methods?
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-77226-2_19openalex-snapshot
Filter Methods for Feature Selection – A Comparative Study
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50023-4openalex-snapshot
Irrelevant Features and the Subset Selection Problem
inferredcites →https://doi.org/10.1016/j.compeleceng.2013.11.024openalex-snapshot
A survey on feature selection methods
inferredcites →https://doi.org/10.1016/j.jbi.2006.02.013openalex-snapshot
NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information
inferredcites →https://doi.org/10.1016/j.procs.2015.12.117openalex-snapshot
Wrapper Feature Subset Selection for Dimension Reduction Based on Ensemble Learning Algorithm
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1016/s0004-3702(97)00063-5openalex-snapshot
Selection of relevant features and examples in machine learning
inferredcites →https://doi.org/10.1023/a:1012450327387openalex-snapshot
Choosing Multiple Parameters for Support Vector Machines
inferredcites →https://doi.org/10.1023/a:1012487302797openalex-snapshot
Gene Selection for Cancer Classification using Support Vector Machines
inferredcites →https://doi.org/10.1038/415436aopenalex-snapshot
Prediction of central nervous system embryonal tumour outcome based on gene expression
inferredcites →https://doi.org/10.1093/bib/1.4.398openalex-snapshot
Ontology-based knowledge representation for bioinformatics
inferredcites →https://doi.org/10.1093/bioinformatics/btm344openalex-snapshot
A review of feature selection techniques in bioinformatics
inferredcites →https://doi.org/10.1109/access.2014.2332453openalex-snapshot
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
inferredcites →https://doi.org/10.1109/cbms.2006.87openalex-snapshot
Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches
inferredcites →https://doi.org/10.1109/cibcb.2005.1594892openalex-snapshot
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
inferredcites →https://doi.org/10.1109/iccic.2014.7238499openalex-snapshot
A literature review of feature selection techniques and applications: Review of feature selection in data mining
inferredcites →https://doi.org/10.1109/sai.2014.6918213openalex-snapshot
A survey of feature selection and feature extraction techniques in machine learning
inferredcites →https://doi.org/10.1109/tai.1995.479783openalex-snapshot
Chi2: feature selection and discretization of numeric attributes
inferredcites →https://doi.org/10.11144/javeriana.iyu19-1.tdcdopenalex-snapshot
Toward detecting crop diseases and pest by supervised learning
inferredcites →https://doi.org/10.1145/321250.321256openalex-snapshot
Sequential Search: A Method for Solving Constrained Optimization Problems
inferredcites →https://doi.org/10.1155/2015/198363openalex-snapshot
A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data
inferredcites →https://doi.org/10.1186/1471-2105-11-s1-s5openalex-snapshot
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
inferredcites →https://doi.org/10.1186/1471-2105-6-148openalex-snapshot
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
inferredcites →https://doi.org/10.1186/1471-2105-7-197openalex-snapshot
Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data
inferredcites →https://doi.org/10.1186/1471-2105-7-3openalex-snapshot
Gene selection and classification of microarray data using random forest
inferredcites →https://doi.org/10.1186/1472-6947-6-27openalex-snapshot
An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors
inferredcites →https://doi.org/10.1201/9781003284543-3openalex-snapshot
Feature Selection Methods and Algorithms
inferredcites →https://doi.org/10.1609/aaai.v29i1.9211openalex-snapshot
Embedded Unsupervised Feature Selection
inferredcites →https://doi.org/10.17706/jcp.10.6.396-405openalex-snapshot
A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal
inferredcites →https://doi.org/10.21236/ada292575openalex-snapshot
Selection of Relevant Features in Machine Learning.
inferredcites →https://doi.org/10.22395/rium.v15n28a7openalex-snapshot
A systematic review of data quality issues in knowledge discovery tasks
inferredcites →https://doi.org/10.3182/20060329-3-au-2901.00128openalex-snapshot
A LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR (LASSO) FOR NONLINEAR SYSTEM IDENTIFICATION
inferredcites →https://doi.org/10.4018/978-1-4666-8505-5.ch007openalex-snapshot
Big Data Mining Based on Computational Intelligence and Fuzzy Clustering
inferredcites →https://doi.org/10.6029/smartcr.2014.03.007openalex-snapshot
Feature Selection: A literature Review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4552873openalex-extracted
Data Preprocessing and Expert Knowledge Integration for Feature Selection in Process Industry
inferred← citeshttps://doi.org/10.1007/978-3-031-35891-3_7openalex-snapshot
Aggregating Human Domain Knowledge for Feature Ranking
inferred← citeshttps://doi.org/10.1007/s11676-024-01768-wopenalex-snapshot
A stacking-based model for the spread of Botryosphaeria laricina
inferred← citeshttps://doi.org/10.1007/s12530-021-09395-0openalex-snapshot
Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling
inferred← citeshttps://doi.org/10.1007/s12553-020-00499-2openalex-snapshot
Comparing different feature selection algorithms for cardiovascular disease prediction
inferred← citeshttps://doi.org/10.1007/s13198-024-02555-wopenalex-snapshot
Machine learning and rule-based embedding techniques for classifying text documents
inferred← citeshttps://doi.org/10.1007/s13755-020-00134-4openalex-snapshot
GLIMPSE: a glioblastoma prognostication model using ensemble learning—a surveillance, epidemiology, and end results study
inferred← citeshttps://doi.org/10.1016/b978-0-12-822000-9.00004-5openalex-snapshot
Natural language processing in oncology
inferred← citeshttps://doi.org/10.1016/j.compag.2020.105640openalex-snapshot
Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106578openalex-snapshot
A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France
inferred← citeshttps://doi.org/10.1038/s41598-021-82796-yopenalex-snapshot
A machine learning method based on the genetic and world competitive contests algorithms for selecting genes or features in biological applications
inferred← citeshttps://doi.org/10.1109/access.2021.3104537openalex-snapshot
FramePests: A Comprehensive Framework for Crop Pests Modeling and Forecasting
inferred← citeshttps://doi.org/10.1109/embc46164.2021.9629897openalex-snapshot
Subsumption reduces dataset dimensionality without decreasing performance of a machine learning classifier
inferred← citeshttps://doi.org/10.1109/icccbda69573.2026.11676561openalex-snapshot
Max Production Recommendation Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icicis52592.2021.9694128openalex-snapshot
Enhancing Performance of Biomedical Named Entity Recognition
inferred← citeshttps://doi.org/10.1109/isse54508.2022.10005441openalex-snapshot
Towards a Data Engineering Process in Data-Driven Systems Engineering
inferred← citeshttps://doi.org/10.1177/18758967251414890openalex-snapshot
Structured Feature Selection in NIR Spectroscopy Using Multiblock Elastic Net: A Case Study on Corn Data
inferred← citeshttps://doi.org/10.1371/journal.pone.0318874openalex-snapshot
Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance
inferred← citeshttps://doi.org/10.19044/esj.2022.v18n4p20openalex-snapshot
Subsumption is a Novel Feature Reduction Strategy for High Dimensionality Datasets
inferred← citeshttps://doi.org/10.3390/app12168378openalex-snapshot
Call Failure Prediction in IP Multimedia Subsystem (IMS) Networks
inferred← citeshttps://doi.org/10.3390/sym10040099openalex-snapshot
How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning
inferred← citeshttps://doi.org/10.3390/sym10070248openalex-snapshot
From Theory to Practice: A Data Quality Framework for Classification Tasks
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