An efficient feature selection framework based on information theory for high dimensional data
出版年份 2021 全文链接
标题
An efficient feature selection framework based on information theory for high dimensional data
作者
关键词
Feature selection, Feature fusion, Feature relevancy, Feature redundancy, Microarray, Bioinformatics, High dimensional data, Mutual information
出版物
APPLIED SOFT COMPUTING
Volume -, Issue -, Pages 107729
出版商
Elsevier BV
发表日期
2021-07-23
DOI
10.1016/j.asoc.2021.107729
参考文献
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。- Feature redundancy term variation for mutual information-based feature selection
- (2020) Wanfu Gao et al. APPLIED INTELLIGENCE
- Dynamic feature selection method with minimum redundancy information for linear data
- (2020) HongFang Zhou et al. APPLIED INTELLIGENCE
- Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information
- (2020) Zhi-Chao Sha et al. APPLIED INTELLIGENCE
- A novel hybrid feature selection method based on dynamic feature importance
- (2020) Guangfen Wei et al. APPLIED SOFT COMPUTING
- Overview and comparative study of dimensionality reduction techniques for high dimensional data
- (2020) Shaeela Ayesha et al. Information Fusion
- Feature selection considering Uncertainty Change Ratio of the class label
- (2020) Ping Zhang et al. APPLIED SOFT COMPUTING
- A Classification Framework using a Diverse Intensified Strawberry Optimized Neural Network (DISON) for Clinical Decision-making
- (2020) S. Sreejith et al. Cognitive Systems Research
- An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
- (2020) Junghye Lee et al. EXPERT SYSTEMS WITH APPLICATIONS
- Hybrid Fast Unsupervised Feature Selection for High-dimensional Data
- (2019) Zhaleh Manbari et al. EXPERT SYSTEMS WITH APPLICATIONS
- An effective distance based feature selection approach for imbalanced data
- (2019) Shaukat Ali Shahee et al. APPLIED INTELLIGENCE
- C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods
- (2019) Aman Sharma et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Strong approximate Markov blanket and its application on filter-based feature selection
- (2019) Zhongsheng Hua et al. APPLIED SOFT COMPUTING
- R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data
- (2019) Rubul Kumar Bania et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Feature selection considering two types of feature relevancy and feature interdependency
- (2018) Liang Hu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Feature selection based on conditional mutual information: minimum conditional relevance and minimum conditional redundancy
- (2018) HongFang Zhou et al. APPLIED INTELLIGENCE
- On developing an automatic threshold applied to feature selection ensembles
- (2018) B. Seijo-Pardo et al. Information Fusion
- Feature Selection with Multi-view Data: A Survey
- (2018) Rui Zhang et al. Information Fusion
- Embedded feature selection accounting for unknown data heterogeneity
- (2018) Meng Lu EXPERT SYSTEMS WITH APPLICATIONS
- Effective features to classify skin lesions in dermoscopic images
- (2017) Zhen Ma et al. EXPERT SYSTEMS WITH APPLICATIONS
- Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data
- (2017) Barbara Pes et al. Information Fusion
- A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach
- (2017) Saúl Solorio-Fernández et al. PATTERN RECOGNITION
- Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
- (2016) Mohammed A. Ambusaidi et al. IEEE TRANSACTIONS ON COMPUTERS
- Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
- (2016) Jun Chin Ang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- High-dimensional feature selection via feature grouping: A Variable Neighborhood Search approach
- (2016) Miguel García-Torres et al. INFORMATION SCIENCES
- Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study
- (2016) Adnan Amin et al. IEEE Access
- An experimental comparison of feature selection methods on two-class biomedical datasets
- (2015) P. Drotár et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Improving PLS–RFE based gene selection for microarray data classification
- (2015) Aiguo Wang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Sequential random k-nearest neighbor feature selection for high-dimensional data
- (2015) Chan Hee Park et al. EXPERT SYSTEMS WITH APPLICATIONS
- Feature selection using Joint Mutual Information Maximisation
- (2015) Mohamed Bennasar et al. EXPERT SYSTEMS WITH APPLICATIONS
- Effectively classifying short texts by structured sparse representation with dictionary filtering
- (2015) Longwen Gao et al. INFORMATION SCIENCES
- A novel feature selection method considering feature interaction
- (2015) Zilin Zeng et al. PATTERN RECOGNITION
- A review of microarray datasets and applied feature selection methods
- (2014) V. Bolón-Canedo et al. INFORMATION SCIENCES
- Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data
- (2013) Yan Cui et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Conditional mutual information-based feature selection for congestive heart failure recognition using heart rate variability
- (2012) Sung-Nien Yu et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A novel feature selection method based on normalized mutual information
- (2011) La The Vinh et al. APPLIED INTELLIGENCE
- A hybrid feature selection method for DNA microarray data
- (2011) Li-Yeh Chuang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Recipe for uncovering predictive genes using support vector machines based on model population analysis
- (2011) Hong-Dong Li et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection
- (2010) Lin-Kai Luo et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A novel hybrid feature selection method for microarray data analysis
- (2009) Chien-Pang Lee et al. APPLIED SOFT COMPUTING
- Ensemble gene selection by grouping for microarray data classification
- (2009) Huawen Liu et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity
- (2008) Patrick Emmanuel Meyer et al. IEEE Journal of Selected Topics in Signal Processing
- Bases for parametrized iterativity
- (2008) Jiří Adámek et al. INFORMATION AND COMPUTATION
- A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability
- (2008) S. García et al. SOFT COMPUTING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now