A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification

Anton Akusok; Yoan Miche; Jozsef Hegedus; Rui Nian; Amaury Lendasse

doi:10.1007/s12559-014-9253-4

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification

Anton Akusok
, Yoan Miche
, Jozsef Hegedus
, Rui Nian
, Amaury Lendasse

Aalto University
Ocean University of China
Ikerbasque Basque Foundation for Science
Arcada University of Applied Sciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	432-445
Number of pages	14
Journal	Cognitive Computation
Volume	6
Issue number	3
DOIs	https://doi.org/10.1007/s12559-014-9253-4
State	Published - Sep 2014
Externally published	Yes

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Computer Science Applications
Cognitive Neuroscience

Keywords

ELM
False positives
K-NN
Malware detection

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10.1007/s12559-014-9253-4

Cite this

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title = "A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification",

keywords = "ELM, False positives, K-NN, Malware detection",

author = "Anton Akusok and Yoan Miche and Jozsef Hegedus and Rui Nian and Amaury Lendasse",

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language = "English",

volume = "6",

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journal = "Cognitive Computation",

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T1 - A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification

AU - Akusok, Anton

AU - Miche, Yoan

AU - Hegedus, Jozsef

AU - Nian, Rui

AU - Lendasse, Amaury

PY - 2014/9

Y1 - 2014/9

KW - ELM

KW - False positives

KW - K-NN

KW - Malware detection

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UR - https://www.scopus.com/pages/publications/84906946075#tab=citedBy

U2 - 10.1007/s12559-014-9253-4

DO - 10.1007/s12559-014-9253-4

M3 - Article

AN - SCOPUS:84906946075

SN - 1866-9956

VL - 6

SP - 432

EP - 445

JO - Cognitive Computation

JF - Cognitive Computation

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ER -

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification

ASJC Scopus Subject Areas

Keywords

Access to Document

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