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Behaviormetrika Q0

期刊收录：
Scopus

基本信息

期刊ISSN：
0385-7417
期刊简拼：
年发文章数：
0
E-ISSN：
Gold OA文章占比
0.00%
研究文章占比：
0.00%
是否OA：
No
Jcr分区：
Q0
中科院分区：

出版信息

出版商：
Behaviormetric Society of Japan
涉及研究方向：
Mathematics-Analysis
出版国家：
出版语言：
出版周期：
2 issues per year
出版年份：

2023-2024最新影响因子:0
自引率:N.A.
五年影响因子:0
JCI期刊引文指标:0
h-index:暂无h-index数据
CiteScore:5.10

期刊关键词

0区 Scopus

期刊简介

Behaviormetrika is issued twice a year to provide an international forum for new theoretical and empirical quantitative approaches in data science. When Behaviormetrika was launched in 1974, the journal advocated data science, as an interdisciplinary field that included the use of statistical methods to extract meaningful knowledge from data in its various forms: structured or unstructured. Behaviormetrika is the oldest journal addressing the topic of data science. The first editor-in-chief of Behaviormetrika, Dr. Chikio Hayashi, described data science in this way:“Data science is not only a synthetic concept to unify statistics, data analysis, and their related methods; it also comprises its results. Data science is intended to analyze and understand actual phenomena with ‘data.’ In other words, the aim of data science is to reveal the features or the hidden structure of complicated natural, human, and social phenomena using data from a different perspective from the established or traditional theory and method.” Behaviormetrika is a fully refereed international journal, which publishes original research papers, notes, and review articles. Subject areas suitable for publication include but are not limited to the following methodologies and fields. Methodologies Data scienceMathematical statisticsSurvey methodologiesArtificial intelligence Information theoryMachine learning Knowledge discovery in databases (KDD)Graphical modelsComputer scienceAlgorithms FieldsMedicinePsychologyEducationEconomicsMarketingSocial scienceSociologyPolitical sciencePolicy scienceCognitive scienceBrain science

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