Scalable Outlying-Inlying Aspects Discovery via Feature Ranking

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18032-8_33 ◽

2015 ◽

pp. 422-434 ◽

Cited By ~ 7

Author(s):

Nguyen Xuan Vinh ◽

Jeffrey Chan ◽

James Bailey ◽

Christopher Leckie ◽

Kotagiri Ramamohanarao ◽

...

Keyword(s):

Feature Ranking

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Integrating Noun-Based Feature Ranking and Selection Methods with Arabic Text Associative Classification Approach

Arabian Journal for Science and Engineering ◽

10.1007/s13369-014-1304-3 ◽

2014 ◽

Vol 39 (11) ◽

pp. 7807-7822 ◽

Cited By ~ 2

Author(s):

Abdullah S. Ghareb ◽

Abdul Razak Hamdan ◽

Azuraliza Abu Bakar

Keyword(s):

Ranking And Selection ◽

Feature Ranking ◽

Arabic Text ◽

Associative Classification ◽

Selection Methods ◽

Classification Approach

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A parameterless feature ranking algorithm based on MI

Neurocomputing ◽

10.1016/j.neucom.2007.04.012 ◽

2008 ◽

Vol 71 (7-9) ◽

pp. 1656-1668 ◽

Cited By ~ 14

Author(s):

Jin-Jie Huang ◽

Yun-Ze Cai ◽

Xiao-Ming Xu

Keyword(s):

Feature Ranking ◽

Ranking Algorithm

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A Feature Ranking Strategy to Facilitate Multivariate Signal Classification

IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) ◽

10.1109/tsmcc.2009.2024648 ◽

2010 ◽

Vol 40 (1) ◽

pp. 98-108 ◽

Cited By ~ 13

Author(s):

L. Gupta ◽

S. Kota ◽

S. Murali ◽

D.L. Molfese ◽

R. Vaidyanathan

Keyword(s):

Signal Classification ◽

Feature Ranking ◽

Ranking Strategy

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Context-based unsupervised ensemble learning and feature ranking

Machine Learning ◽

10.1007/s10994-016-5576-6 ◽

2016 ◽

Vol 105 (3) ◽

pp. 459-485 ◽

Cited By ~ 3

Author(s):

Erfan Soltanmohammadi ◽

Mort Naraghi-Pour ◽

Mihaela van der Schaar

Keyword(s):

Ensemble Learning ◽

Feature Ranking

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Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting

2011 IEEE Congress of Evolutionary Computation (CEC) ◽

10.1109/cec.2011.5949719 ◽

2011 ◽

Cited By ~ 12

Author(s):

Anna Friedlander ◽

Kourosh Neshatian ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Feature Ranking ◽

Meta Learning ◽

Classification Variable

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Ensemble Feature Ranking Applied to Medical Data

Procedia Technology ◽

10.1016/j.protcy.2014.10.232 ◽

2014 ◽

Vol 17 ◽

pp. 223-230 ◽

Cited By ~ 6

Author(s):

Vítor Santos ◽

Nuno Datia ◽

M.P.M. Pato

Keyword(s):

Medical Data ◽

Feature Ranking

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On Feature Ranking in Japanese Onset Obstruents

Studies in Japanese and Korean Historical and Theoretical Linguistics and Beyond ◽

10.1163/9789004351134_004 ◽

2017 ◽

pp. 22-36

Keyword(s):

Feature Ranking

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DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies

Lecture Notes in Computer Science - AI 2013: Advances in Artificial Intelligence ◽

10.1007/978-3-319-03680-9_9 ◽

2013 ◽

pp. 80-85

Author(s):

Enes Makalic ◽

Daniel F. Schmidt ◽

John L. Hopper

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Feature Ranking ◽

Genome Wide Association Studies ◽

Genome Wide ◽

Novel Algorithm

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Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals

IEEE Access ◽

10.1109/access.2018.2865116 ◽

2018 ◽

Vol 6 ◽

pp. 44731-44746 ◽

Cited By ~ 20

Author(s):

Hosameldin Ahmed ◽

Asoke K. Nandi

Keyword(s):

Compressive Sampling ◽

Fault Classification ◽

Feature Ranking ◽

Vibration Signals ◽

Bearing Fault

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Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification

Lecture Notes in Computer Science - Machine Learning and Knowledge Extraction ◽

10.1007/978-3-030-29726-8_10 ◽

2019 ◽

pp. 147-167

Author(s):

Ghanshyam Verma ◽

Alokkumar Jha ◽

Dietrich Rebholz-Schuhmann ◽

Michael G. Madden

Keyword(s):

Feature Selection ◽

Feature Ranking ◽

Biomarker Identification ◽

Selection Approach ◽

New Feature ◽

Feature Selection Approach

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