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Using data-compressors for classification hunting behavioral sequences in rodents as "ethological texts". / Levenets, Jan; Novikovskaya, Anna; Panteleeva, Sofia et al.

In: Mathematics, Vol. 8, No. 4, 579, 01.04.2020.

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Levenets, Jan ; Novikovskaya, Anna ; Panteleeva, Sofia et al. / Using data-compressors for classification hunting behavioral sequences in rodents as "ethological texts". In: Mathematics. 2020 ; Vol. 8, No. 4.

BibTeX

@article{ee2264304e6548efbc30b7fd800737b4,
title = "Using data-compressors for classification hunting behavioral sequences in rodents as {"}ethological texts{"}",
abstract = "One of the main problems in comparative studying animal behavior is searching for an adequate mathematical method for evaluating the similarities and differences between behavioral patterns. This study aims to propose a new tool to evaluate ethological differences between species. We developed the new compression-based method for the homogeneity testing and classification to investigate hunting behavior of small mammals. A distinction of this approach is that it belongs to the framework of mathematical statistics and allows one to compare the structural characteristics of any texts in pairwise comparisons. To validate a new method, we compared the hunting behaviors of different species of small mammals as ethological {"}texts.{"} To do this, we coded behavioral elements with different letters. We then tested the hypothesis whether the behavioral sequences of different species as {"}texts{"} are generated either by a single source or by different ones. Based on association coefficients obtained from pairwise comparisons, we built a new classification of types of hunting behaviors, which brought a unique insight into how particular elements of hunting behavior in rodents changed and evolved. We suggest the compression-based method for homogeneity testing as a relevant tool for behavioral and evolutionary analysis.",
keywords = "Behavioral sequence, Biological text, Classification, Data compression, Ethology, Homogeneity test, Hypothesis testing, data compression, hypothesis testing, PATTERNS, homogeneity test, classification, behavioral sequence, COMPLEXITY, biological text, ethology",
author = "Jan Levenets and Anna Novikovskaya and Sofia Panteleeva and Zhanna Reznikova and Boris Ryabko",
note = "Publisher Copyright: {\textcopyright} 2020 by the authors. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = apr,
day = "1",
doi = "10.3390/math8040579",
language = "English",
volume = "8",
journal = "Mathematics",
issn = "2227-7390",
publisher = "MDPI AG",
number = "4",

}

RIS

TY - JOUR

T1 - Using data-compressors for classification hunting behavioral sequences in rodents as "ethological texts"

AU - Levenets, Jan

AU - Novikovskaya, Anna

AU - Panteleeva, Sofia

AU - Reznikova, Zhanna

AU - Ryabko, Boris

N1 - Publisher Copyright: © 2020 by the authors. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/4/1

Y1 - 2020/4/1

N2 - One of the main problems in comparative studying animal behavior is searching for an adequate mathematical method for evaluating the similarities and differences between behavioral patterns. This study aims to propose a new tool to evaluate ethological differences between species. We developed the new compression-based method for the homogeneity testing and classification to investigate hunting behavior of small mammals. A distinction of this approach is that it belongs to the framework of mathematical statistics and allows one to compare the structural characteristics of any texts in pairwise comparisons. To validate a new method, we compared the hunting behaviors of different species of small mammals as ethological "texts." To do this, we coded behavioral elements with different letters. We then tested the hypothesis whether the behavioral sequences of different species as "texts" are generated either by a single source or by different ones. Based on association coefficients obtained from pairwise comparisons, we built a new classification of types of hunting behaviors, which brought a unique insight into how particular elements of hunting behavior in rodents changed and evolved. We suggest the compression-based method for homogeneity testing as a relevant tool for behavioral and evolutionary analysis.

AB - One of the main problems in comparative studying animal behavior is searching for an adequate mathematical method for evaluating the similarities and differences between behavioral patterns. This study aims to propose a new tool to evaluate ethological differences between species. We developed the new compression-based method for the homogeneity testing and classification to investigate hunting behavior of small mammals. A distinction of this approach is that it belongs to the framework of mathematical statistics and allows one to compare the structural characteristics of any texts in pairwise comparisons. To validate a new method, we compared the hunting behaviors of different species of small mammals as ethological "texts." To do this, we coded behavioral elements with different letters. We then tested the hypothesis whether the behavioral sequences of different species as "texts" are generated either by a single source or by different ones. Based on association coefficients obtained from pairwise comparisons, we built a new classification of types of hunting behaviors, which brought a unique insight into how particular elements of hunting behavior in rodents changed and evolved. We suggest the compression-based method for homogeneity testing as a relevant tool for behavioral and evolutionary analysis.

KW - Behavioral sequence

KW - Biological text

KW - Classification

KW - Data compression

KW - Ethology

KW - Homogeneity test

KW - Hypothesis testing

KW - data compression

KW - hypothesis testing

KW - PATTERNS

KW - homogeneity test

KW - classification

KW - behavioral sequence

KW - COMPLEXITY

KW - biological text

KW - ethology

UR - http://www.scopus.com/inward/record.url?scp=85084476844&partnerID=8YFLogxK

U2 - 10.3390/math8040579

DO - 10.3390/math8040579

M3 - Article

AN - SCOPUS:85084476844

VL - 8

JO - Mathematics

JF - Mathematics

SN - 2227-7390

IS - 4

M1 - 579

ER -

ID: 24260305