期刊簡介預(yù)計審稿時間： 8 Weeks

Big Data Mining and Analytics is an academic journal dedicated to big data mining and analysis, dedicated to promoting research and development in big data technology, providing a platform for researchers, engineers, and decision-makers in academia and industry to exchange and share the latest research results, technological advancements, and practical experiences. The magazine covers various aspects of big data mining and analysis, including data preprocessing, data storage, data management, data mining algorithms, machine learning, pattern recognition, statistical analysis, visualization techniques, and more. As a professional journal focusing on big data mining and analysis, it aims to provide the latest research results and technological trends for researchers and practitioners in related fields, and promote the development and application of big data technology.

《大數(shù)據(jù)挖掘與分析》是一本專注于大數(shù)據(jù)挖掘和分析的學(xué)術(shù)期刊，致力于推動大數(shù)據(jù)技術(shù)的研究和發(fā)展，為學(xué)術(shù)界和工業(yè)界的研究人員、工程師和決策者提供一個交流和分享最新研究成果、技術(shù)進(jìn)展和實踐經(jīng)驗的平臺。雜志內(nèi)容涵蓋了大數(shù)據(jù)挖掘和分析的各個方面，包括數(shù)據(jù)預(yù)處理、數(shù)據(jù)存儲、數(shù)據(jù)管理、數(shù)據(jù)挖掘算法、機器學(xué)習(xí)、模式識別、統(tǒng)計分析、可視化技術(shù)等。作為一本關(guān)注大數(shù)據(jù)挖掘和分析的專業(yè)期刊，旨在為相關(guān)領(lǐng)域的研究者和實踐者提供最新的研究成果和技術(shù)動態(tài)，推動大數(shù)據(jù)技術(shù)的發(fā)展和應(yīng)用。

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