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、研究人員和實踐者提供一個交流和分享最新研究成果的平臺。數(shù)據(jù)科學(xué)是一門跨學(xué)科的領(lǐng)域，涉及統(tǒng)計學(xué)、計算機科學(xué)、信息科學(xué)、人工智能等多個學(xué)科。隨著大數(shù)據(jù)時代的到來，數(shù)據(jù)科學(xué)在各行各業(yè)的應(yīng)用越來越廣泛，對于數(shù)據(jù)分析的需求也越來越高。自適應(yīng)分析是一種基于數(shù)據(jù)驅(qū)動的分析方法，它可以根據(jù)數(shù)據(jù)的變化自動調(diào)整分析策略，從而提高分析的準確性和效率。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。通過發(fā)表高質(zhì)量的研究文章和組織各類學(xué)術(shù)活動，該期刊為推動數(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。

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，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學(xué)者值得一試。