Journal Title:Advances In Data Science And Adaptive Analysis
Advances in Data Science and Adaptive Analysis is an academic journal dedicated to the fields of data science and adaptive analysis, aiming to promote research and applications in data science and adaptive analysis, and provide a platform for scholars, researchers, and practitioners in related fields to exchange and share the latest research results. Data science is an interdisciplinary field that involves multiple disciplines such as statistics, computer science, information science, and artificial intelligence. With the advent of the big data era, the application of data science in various industries is becoming increasingly widespread, and the demand for data analysis is also increasing. Adaptive analysis is a data-driven analysis method that can automatically adjust analysis strategies based on changes in data, thereby improving the accuracy and efficiency of analysis. Adaptive analysis has wide applications in many fields, such as finance, healthcare, transportation, etc. By publishing high-quality research articles and organizing various academic activities, this journal has made positive contributions to promoting the research and application of data science and adaptive analysis.
《數(shù)據(jù)科學(xué)和自適應(yīng)分析的進(jìn)展》是一本專注于數(shù)據(jù)科學(xué)和自適應(yīng)分析領(lǐng)域的學(xué)術(shù)期刊,旨在推動(dòng)數(shù)據(jù)科學(xué)和自適應(yīng)分析的研究和應(yīng)用,為相關(guān)領(lǐng)域的學(xué)者、研究人員和實(shí)踐者提供一個(gè)交流和分享最新研究成果的平臺(tái)。數(shù)據(jù)科學(xué)是一門跨學(xué)科的領(lǐng)域,涉及統(tǒng)計(jì)學(xué)、計(jì)算機(jī)科學(xué)、信息科學(xué)、人工智能等多個(gè)學(xué)科。隨著大數(shù)據(jù)時(shí)代的到來(lái),數(shù)據(jù)科學(xué)在各行各業(yè)的應(yīng)用越來(lái)越廣泛,對(duì)于數(shù)據(jù)分析的需求也越來(lái)越高。自適應(yīng)分析是一種基于數(shù)據(jù)驅(qū)動(dòng)的分析方法,它可以根據(jù)數(shù)據(jù)的變化自動(dòng)調(diào)整分析策略,從而提高分析的準(zhǔn)確性和效率。自適應(yīng)分析在許多領(lǐng)域都有廣泛的應(yīng)用,如金融、醫(yī)療、交通等。通過(guò)發(fā)表高質(zhì)量的研究文章和組織各類學(xué)術(shù)活動(dòng),該期刊為推動(dòng)數(shù)據(jù)科學(xué)和自適應(yīng)分析的研究和應(yīng)用做出了積極的貢獻(xiàn)。
Advances In Data Science And Adaptive Analysis收稿方向涵蓋MATHEMATICS, INTERDISCIPLINARY APPLICATIONS全領(lǐng)域,平均審稿速度 ,影響因子指數(shù)0.5,該期刊近期沒(méi)有被列入國(guó)際期刊預(yù)警名單,廣大學(xué)者值得一試。
按JIF指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ESCI | Q4 | 118 / 135 |
13% |
按JCI指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ESCI | Q4 | 120 / 135 |
11.48% |
名詞解釋:
WOS即Web of Science,是全球獲取學(xué)術(shù)信息的重要數(shù)據(jù)庫(kù),Web of Science包括自然科學(xué)、社會(huì)科學(xué)、藝術(shù)與人文領(lǐng)域的信息,來(lái)自全世界近9,000種最負(fù)盛名的高影響力研究期刊及12,000多種學(xué)術(shù)會(huì)議多學(xué)科內(nèi)容。給期刊分區(qū)時(shí)會(huì)按照某一個(gè)學(xué)科領(lǐng)域劃分,根據(jù)這一學(xué)科所有按照影響因子數(shù)值降序排名,然后平均分成4等份,期刊影響因子值高的就會(huì)在高分區(qū)中,最后的劃分結(jié)果分別是Q1,Q2,Q3,Q4,Q1代表質(zhì)量最高。
是否OA開放訪問(wèn): | h-index: | 年文章數(shù): |
未開放 | -- | 2 |
Gold OA文章占比: | 2021-2022最新影響因子(數(shù)據(jù)來(lái)源于搜索引擎): | 開源占比(OA被引用占比): |
0.00% | 0.5 | |
研究類文章占比:文章 ÷(文章 + 綜述) | 期刊收錄: | 中科院《國(guó)際期刊預(yù)警名單(試行)》名單: |
100.00% | SCIE | 否 |
歷年IF值(影響因子):
歷年引文指標(biāo)和發(fā)文量:
歷年自引數(shù)據(jù):
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