N. Rezova, Lev Kazakovtsev, Guzel Shkaberina, D. Demidko, A. Goroshko
{"title":"Data Pre-Processing for Ecosystem Behavior Analysis","authors":"N. Rezova, Lev Kazakovtsev, Guzel Shkaberina, D. Demidko, A. Goroshko","doi":"10.1109/InfoTech55606.2022.9897105","DOIUrl":null,"url":null,"abstract":"This paper discusses the application of data pre-processing methods to identify significant taxation and bioclimatic factors influencing the behavior of ecosystems, using examples of outbreaks of mass reproduction of the Siberian silk moth. For further analysis of the behavior of ecosystems, we formulate the problem of classification; we make a preliminary assessment of the methods of classification. As a classification method, we chose the decision tree method. The results of the computational experiment showed the expediency of data preprocessing for solving the problem of classifying large amounts of data.","PeriodicalId":196547,"journal":{"name":"2022 International Conference on Information Technologies (InfoTech)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Information Technologies (InfoTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InfoTech55606.2022.9897105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper discusses the application of data pre-processing methods to identify significant taxation and bioclimatic factors influencing the behavior of ecosystems, using examples of outbreaks of mass reproduction of the Siberian silk moth. For further analysis of the behavior of ecosystems, we formulate the problem of classification; we make a preliminary assessment of the methods of classification. As a classification method, we chose the decision tree method. The results of the computational experiment showed the expediency of data preprocessing for solving the problem of classifying large amounts of data.