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An information theoretic approach for feature selection

https://doi.org/10.1002/sec.303
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11744023_6openalex-snapshot
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
inferredcites →https://doi.org/10.1007/978-3-540-39857-8_10openalex-snapshot
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
inferredcites →https://doi.org/10.1007/s10462-010-9179-5openalex-snapshot
The use of artificial intelligence based techniques for intrusion detection: a review
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50037-1openalex-snapshot
A Practical Approach to Feature Selection
inferredcites →https://doi.org/10.1016/j.eswa.2009.05.029openalex-snapshot
Intrusion detection by machine learning: A review
inferredcites →https://doi.org/10.1016/j.patcog.2008.10.028openalex-snapshot
Feature selection with dynamic mutual information
inferredcites →https://doi.org/10.1016/s0004-3702(03)00079-1openalex-snapshot
Consistency-based search in feature selection
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1109/34.574797openalex-snapshot
Feature selection: evaluation, application, and small sample performance
inferredcites →https://doi.org/10.1109/72.298224openalex-snapshot
Using mutual information for selecting features in supervised neural net learning
inferredcites →https://doi.org/10.1109/72.977291openalex-snapshot
Input feature selection for classification problems
inferredcites →https://doi.org/10.1109/iccv.2003.1238356openalex-snapshot
Object recognition with informative features and linear classification
inferredcites →https://doi.org/10.1109/isspa.2001.950184openalex-snapshot
An optimal feature selection technique using the concept of mutual information
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1162/153244303322753616openalex-snapshot
10.1162/153244303322753616
inferredcites →https://doi.org/10.1515/9781400874668openalex-snapshot
Adaptive Control Processes
inferredcites →https://doi.org/10.2307/2343225openalex-snapshot
Adaptive Control Processes: A Guided Tour.
inferredcites →https://doi.org/10.48550/arxiv.0912.3924openalex-snapshot
A Study on Feature Selection Techniques in Educational Data Mining
inferredcites →https://doi.org/10.5555/1005332.1044711openalex-snapshot
Fast Binary Feature Selection with Conditional Mutual Information

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/sec.1484openalex-snapshot
Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges
inferred← citeshttps://doi.org/10.1002/sec.609openalex-snapshot
Using particle swarm optimization in fuzzy association rules‐based feature selection and fuzzy ARTMAP‐based attack recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-59383-3_1openalex-snapshot
Predicting School Dropout in Malawi
inferred← citeshttps://doi.org/10.1007/978-3-319-08624-8_8openalex-snapshot
A Multi-objective Genetic Algorithm Based Approach for Effective Intrusion Detection Using Neural Networks
inferred← citeshttps://doi.org/10.1007/s00500-015-1942-8openalex-snapshot
Hybrid of binary gravitational search algorithm and mutual information for feature selection in intrusion detection systems
inferred← citeshttps://doi.org/10.1007/s00521-012-1204-yopenalex-snapshot
Gravitational search algorithm–optimized neural misuse detector with selected features by fuzzy grids–based association rules mining
inferred← citeshttps://doi.org/10.1007/s12083-025-01911-2openalex-snapshot
Intrusion defense: Leveraging ant colony optimization for enhanced multi-optimization in network security
inferred← citeshttps://doi.org/10.1080/0952813x.2021.1960627openalex-snapshot
Empirical analyses of genetic algorithm and grey wolf optimiser to improve their efficiency with a new multi-objective weighted fitness function for feature selection in machine learning classification: the roadmap
inferred← citeshttps://doi.org/10.1080/21642583.2014.895969openalex-snapshot
Network security – an updated perspective
inferred← citeshttps://doi.org/10.1081/e-eia-120052597openalex-snapshot
Binary Gravitational Search Algorithm (BGSA): Improved Efficiency
inferred← citeshttps://doi.org/10.1155/2012/850160openalex-snapshot
The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection: A Review
inferred← citeshttps://doi.org/10.17485/ijst/2017/v10i21/100023openalex-snapshot
Malware Classification Framework for Dynamic Analysis using Information Theory
inferred← citeshttps://doi.org/10.2991/ijcis.11.1.87openalex-snapshot
Evaluation of Supervised Machine Learning Techniques for Dynamic Malware Detection
inferred← citeshttps://doi.org/10.3103/s0147688223050106openalex-snapshot
Trend Detection Using NLP as a Mechanism of Decision Support
inferred← citeshttps://doi.org/10.32628/cseit217518openalex-snapshot
Evaluating Malware Detection System using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3389/fneur.2022.951401openalex-snapshot
Machine learning approach for hemorrhagic transformation prediction: Capturing predictors' interaction
inferred← citeshttps://doi.org/10.37648/ijrst.v10i03.005openalex-snapshot
GAINFULLY USING MACHINE LEARNING ALGORITHM IN ENHANCING THE EFFICACY OF EVALUATING MALWARE DETECTION SYSTEM
inferred← citeshttps://doi.org/10.47893/ijcsi.2013.1132openalex-snapshot
A FUZZY BASED DIVIDE AND CONQUER ALGORITHM FOR FEATURE SELECTION IN KDD INTRUSION DETECTION DATASET
inferred← citeshttps://doi.org/10.5281/zenodo.21733426openalex-snapshot
A Feature Selection for Intrusion Detection System Using a Hybrid Efficient Model
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