Feature selection for interval-valued data based on D-S evidence theory

IEEE Access ◽

10.1109/access.2021.3109013 ◽

2021 ◽

pp. 1-1

Author(s):

Yichun Peng ◽

Qinli Zhang

Keyword(s):

Feature Selection ◽

Evidence Theory ◽

Selection For ◽

Interval Valued

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Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107223 ◽

2021 ◽

pp. 107223

Author(s):

Binbin Sang ◽

Hongmei Chen ◽

Lei Yang ◽

Tianrui Li ◽

Weihua Xu ◽

...

Keyword(s):

Feature Selection ◽

Rough Set ◽

Neighborhood Rough Set ◽

Selection For ◽

Ordered Data ◽

Interval Valued

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Interval-Valued Feature Selection for Classification of Text Documents

Advances in Intelligent Systems and Computing - Intelligent Systems Design and Applications ◽

10.1007/978-3-030-71187-0_95 ◽

2021 ◽

pp. 1028-1038

Author(s):

N. Vinay Kumar ◽

K. Swarnalatha ◽

D. S. Guru ◽

B. S. Anami

Keyword(s):

Feature Selection ◽

Text Documents ◽

Selection For ◽

Interval Valued

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A Novel Feature Ranking Criterion for Supervised Interval Valued Feature Selection for Classification

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2017.331 ◽

2017 ◽

Author(s):

N. Vinay Kumar ◽

D.S. Guru

Keyword(s):

Feature Selection ◽

Feature Ranking ◽

Ranking Criterion ◽

Selection For ◽

Interval Valued

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Class Specific Feature Selection for Interval Valued Data Through Interval K-Means Clustering

Communications in Computer and Information Science - Recent Trends in Image Processing and Pattern Recognition ◽

10.1007/978-981-10-4859-3_21 ◽

2017 ◽

pp. 228-239 ◽

Author(s):

D. S. Guru ◽

N. Vinay Kumar

Keyword(s):

Feature Selection ◽

Selection For ◽

Interval Valued

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Interval Valued Feature Selection for Classification of Logo Images

Advances in Intelligent Systems and Computing - Intelligent Systems Design and Applications ◽

10.1007/978-3-319-76348-4_16 ◽

2018 ◽

pp. 154-165 ◽

Author(s):

D. S. Guru ◽

N. Vinay Kumar

Keyword(s):

Feature Selection ◽

Selection For ◽

Interval Valued

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Fast feature selection for interval-valued data through kernel density estimation entropy

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-020-01131-5 ◽

2020 ◽

Vol 11 (12) ◽

pp. 2607-2624

Author(s):

Jianhua Dai ◽

Ye Liu ◽

Jiaolong Chen ◽

Xiaofeng Liu

Keyword(s):

Feature Selection ◽

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Selection For ◽

Interval Valued

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FEATURE SELECTION FOR THE DETECTION OF EPILEPSY BY USING EEG PHYSIOLOGICAL SIGNAL

i-manager’s Journal on Pattern Recognition ◽

10.26634/jpr.4.2.13727 ◽

2017 ◽

Vol 4 (2) ◽

pp. 17

Author(s):

CHANDANI MANISHA ◽

KUMAR ARUN ◽

◽

Keyword(s):

Feature Selection ◽

Physiological Signal ◽

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Chicken Algorithm Based Feature Selection For Arabic Information Searching System

10.36458/1253-000-033-015 ◽

2019 ◽

pp. 389

Author(s):

زينب عبدالأمير ◽

علياء كريم عبدالحسن

Keyword(s):

Feature Selection ◽

Information Searching ◽

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

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An MRMR with mean score feature selection for ovarian cancer classification using joint analysis

International Journal of Pharma and Bio Sciences ◽

10.22376/ijpbs.2017.8.2.b495-504 ◽

2017 ◽

Vol 8 (2) ◽

Author(s):

M.ANI DHA ◽

DR.K.PREMA LATHA

Keyword(s):

Ovarian Cancer ◽

Feature Selection ◽

Cancer Classification ◽

Joint Analysis ◽

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