Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach

IEEE Antennas and Wireless Propagation Letters ◽

10.1109/lawp.2019.2915047 ◽

2019 ◽

Vol 18 (11) ◽

pp. 2306-2310 ◽

Author(s):

Mohamed Ibrahim AlHajri ◽

Nazar T. Ali ◽

Raed M. Shubair

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Indoor Localization ◽

Learning Approach ◽

Machine Learning Approach ◽

Adaptive Feature Selection

Download Full-text

A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02504-4_22 ◽

2009 ◽

pp. 242-252 ◽

Author(s):

Michele Ceccarelli ◽

Antonio d’Acierno ◽

Angelo Facchiano

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Mass Spectra ◽

Learning Approach ◽

Unsupervised Feature Selection ◽

Machine Learning Approach

Download Full-text

Data Classification Using Feature Selection and kNN Machine Learning Approach

2015 International Conference on Computational Intelligence and Communication Networks (CICN) ◽

10.1109/cicn.2015.165 ◽

2015 ◽

Author(s):

Shemim Begum ◽

Debasis Chakraborty ◽

Ram Sarkar

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Data Classification ◽

Learning Approach ◽

Machine Learning Approach

Download Full-text

Machine Learning Approach for Gesture Recognition Based on Automatic Feature Selection

Motion in Games - Lecture Notes in Computer Science ◽

10.1007/978-3-642-34710-8_34 ◽

2012 ◽

pp. 366-369

Author(s):

Xiubo Liang ◽

Franck Multon ◽

Weidong Geng

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Gesture Recognition ◽

Learning Approach ◽

Machine Learning Approach ◽

Automatic Feature Selection

Download Full-text

An efficient machine learning approach for indoor localization

China Communications ◽

10.1109/cc.2017.8233657 ◽

2017 ◽

Vol 14 (11) ◽

pp. 141-150 ◽

Author(s):

Lingwen Zhang ◽

Yishun Li ◽

Yajun Gu ◽

Wenkao Yang

Keyword(s):

Machine Learning ◽

Indoor Localization ◽

Learning Approach ◽

Machine Learning Approach ◽

Efficient Machine

Download Full-text

A machine learning approach for feature selection traffic classification using security analysis

The Journal of Supercomputing ◽

10.1007/s11227-018-2263-3 ◽

2018 ◽

Vol 74 (10) ◽

pp. 4867-4892 ◽

Author(s):

Muhammad Shafiq ◽

Xiangzhan Yu ◽

Ali Kashif Bashir ◽

Hassan Nazeer Chaudhry ◽

Dawei Wang

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Security Analysis ◽

Learning Approach ◽

Traffic Classification ◽

Machine Learning Approach

Download Full-text

AN ANALYSIS ON FEATURE SELECTION METHODS, CLUSTERING AND CLASSIFICATION USED IN HEART DISEASE PREDICTION –A MACHINE LEARNING APPROACH

Journal of Critical Reviews ◽

10.31838/jcr.07.06.27 ◽

2020 ◽

Vol 7 (06) ◽

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Heart Disease ◽

Learning Approach ◽

Disease Prediction ◽

Selection Methods ◽

Machine Learning Approach ◽

Clustering And Classification

Download Full-text

Improving the Intrusion Detection using Discriminative Machine Learning Approach and Improve the Time Complexity by Data Mining Feature Selection Methods

International Journal of Computer Applications ◽

10.5120/13209-0587 ◽

2013 ◽

Vol 76 (1) ◽

pp. 5-11 ◽

Author(s):

Karan Bajaj ◽

Amit Arora

Keyword(s):

Machine Learning ◽

Data Mining ◽

Feature Selection ◽

Intrusion Detection ◽

Time Complexity ◽

Learning Approach ◽

Selection Methods ◽

Machine Learning Approach

Download Full-text

Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach

Lecture Notes in Computer Science - Bioinspired Computation in Artificial Systems ◽

10.1007/978-3-319-18833-1_39 ◽

2015 ◽

pp. 369-378 ◽

Author(s):

Antonio J. Tallón-Ballesteros ◽

José C. Riquelme

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Supervised Machine Learning ◽

Learning Approach ◽

Data Cleansing ◽

Machine Learning Approach

Download Full-text

Multi-Objective Feature Selection in QSAR Using a Machine Learning Approach

QSAR & Combinatorial Science ◽

10.1002/qsar.200960053 ◽

2009 ◽

Vol 28 (11-12) ◽

pp. 1509-1523 ◽

Author(s):

Axel J. Soto ◽

Rocío L. Cecchini ◽

Gustavo E. Vazquez ◽

Ignacio Ponzoni

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Learning Approach ◽

Multi Objective ◽

Machine Learning Approach

Download Full-text

A Machine Learning Approach for Drug‐target Interaction Prediction using Wrapper Feature Selection and Class Balancing

Molecular Informatics ◽

10.1002/minf.201900062 ◽

2020 ◽

Vol 39 (5) ◽

pp. 1900062 ◽

Author(s):

Shweta Redkar ◽

Sukanta Mondal ◽

Alex Joseph ◽

K. S. Hareesha

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Drug Target ◽

Learning Approach ◽

Target Interaction ◽

Interaction Prediction ◽

Machine Learning Approach ◽

Wrapper Feature Selection

Download Full-text