Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves

Abdelhady AA, Abdalla MM. 2018. Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves. Biodiversitas 19: 1769-1776. Predicting biotic responses to current and future global change can be acquired through understanding how biological...

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Autores principales:	AHMED AWAD ABDELHADY, MOHAMMED MASOUD ABDALLA
Formato:	article
Lenguaje:	EN
Publicado:	MBI & UNS Solo 2018
Materias:	association rules biotic traits bivalvia biodiversity decision tree Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/e7552de9987d429e9c26c9b0561e8af5
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spelling	oai:doaj.org-article:e7552de9987d429e9c26c9b0561e8af52021-11-16T14:04:05ZShort Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves1412-033X2085-472210.13057/biodiv/d190525https://doaj.org/article/e7552de9987d429e9c26c9b0561e8af52018-09-01T00:00:00Zhttps://smujo.id/biodiv/article/view/2945https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abdelhady AA, Abdalla MM. 2018. Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves. Biodiversitas 19: 1769-1776. Predicting biotic responses to current and future global change can be acquired through understanding how biological and environmental traits shaped the past origination, dispersion and extinction patterns. A global dataset encompasses 161,357 taxon occurrences belonging to 2,378 bivalve genera from past and recent environments were analyzed based on the categorization model, a widely-used machine-learning analysis, using MS-SQL and Excel PowerView. The occurrence data was standardized using square-root transformation to downplay the effect of sampling effort. Thus, the examined traits are resulting from reliable ecological interactions. The results indicate that the biotic traits of the bivalve can be determined by the abiotic ones. Moreover, ecological traits such as life habit (i.e., infaunal vs. epifaunal), diet (suspension vs. deposit feeders, herbivores vs. carnivores), composition (aragonite vs. calcite), and locomotion (stationary vs. mobile) all exhibit significant relation to a specific environment. The results demonstrated that decision tree and association rules are primary powerful tools in analyzing huge biological data and in testing many useful bio-ecological hypotheses.AHMED AWAD ABDELHADYMOHAMMED MASOUD ABDALLAMBI & UNS Soloarticleassociation rulesbiotic traitsbivalviabiodiversitydecision treeBiology (General)QH301-705.5ENBiodiversitas, Vol 19, Iss 5, Pp 1763-1770 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	association rules biotic traits bivalvia biodiversity decision tree Biology (General) QH301-705.5
spellingShingle	association rules biotic traits bivalvia biodiversity decision tree Biology (General) QH301-705.5 AHMED AWAD ABDELHADY MOHAMMED MASOUD ABDALLA Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves
description	Abdelhady AA, Abdalla MM. 2018. Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves. Biodiversitas 19: 1769-1776. Predicting biotic responses to current and future global change can be acquired through understanding how biological and environmental traits shaped the past origination, dispersion and extinction patterns. A global dataset encompasses 161,357 taxon occurrences belonging to 2,378 bivalve genera from past and recent environments were analyzed based on the categorization model, a widely-used machine-learning analysis, using MS-SQL and Excel PowerView. The occurrence data was standardized using square-root transformation to downplay the effect of sampling effort. Thus, the examined traits are resulting from reliable ecological interactions. The results indicate that the biotic traits of the bivalve can be determined by the abiotic ones. Moreover, ecological traits such as life habit (i.e., infaunal vs. epifaunal), diet (suspension vs. deposit feeders, herbivores vs. carnivores), composition (aragonite vs. calcite), and locomotion (stationary vs. mobile) all exhibit significant relation to a specific environment. The results demonstrated that decision tree and association rules are primary powerful tools in analyzing huge biological data and in testing many useful bio-ecological hypotheses.
format	article
author	AHMED AWAD ABDELHADY MOHAMMED MASOUD ABDALLA
author_facet	AHMED AWAD ABDELHADY MOHAMMED MASOUD ABDALLA
author_sort	AHMED AWAD ABDELHADY
title	Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves
title_short	Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves
title_full	Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves
title_fullStr	Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves
title_full_unstemmed	Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves
title_sort	short communication: categorization models as a powerful tool in paleontological data analyses – the phanerozoic bivalves
publisher	MBI & UNS Solo
publishDate	2018
url	https://doaj.org/article/e7552de9987d429e9c26c9b0561e8af5
work_keys_str_mv	AT ahmedawadabdelhady shortcommunicationcategorizationmodelsasapowerfultoolinpaleontologicaldataanalysesthephanerozoicbivalves AT mohammedmasoudabdalla shortcommunicationcategorizationmodelsasapowerfultoolinpaleontologicaldataanalysesthephanerozoicbivalves
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Short Communication: Categorization models as a powerful tool in paleontological data analyses – the Phanerozoic bivalves

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