Feature Selection for Classification using Principal Component Analysis and Information Gain

A review of unsupervised feature selection methods

(2019) Saúl Solorio-Fernández et al.   ARTIFICIAL INTELLIGENCE REVIEW

Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets

(2019) João Nobre et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-Feature Based Network Revealing the Structural Abnormalities in Autism Spectrum Disorder

(2019) Weihao Zheng et al.   IEEE Transactions on Affective Computing

Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC

(2018) Guodong Chen et al.   JOURNAL OF THEORETICAL BIOLOGY

A Survey on semi-supervised feature selection methods

(2017) Razieh Sheikhpour et al.   PATTERN RECOGNITION

Detection of fake opinions using time series

(2016) Atefeh Heydari et al.   EXPERT SYSTEMS WITH APPLICATIONS

Unsupervised method for sentiment analysis in online texts

(2016) Milagros Fernández-Gavilanes et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of machine learning for big data processing

(2016) Junfei Qiu et al.   EURASIP Journal on Advances in Signal Processing

Evaluating feature-selection stability in next-generation proteomics

(2016) Wilson Wen Bin Goh et al.   Journal of Bioinformatics and Computational Biology

Feature Selection Using Information Gain for Improved Structural-Based Alert Correlation

(2016) Taqwa Ahmed Alhaj et al.   PLoS One

Sentiment analysis on social media for stock movement prediction

(2015) Thien Hai Nguyen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING