期刊簡(jiǎn)介預(yù)計(jì)審稿時(shí)間： 7 Weeks

Machine Learning and Knowledge Extraction is an international academic journal dedicated to the fields of machine learning, data mining, knowledge discovery, and artificial intelligence. This journal is committed to publishing original research papers, review articles, and case studies, with the aim of promoting theoretical development and practical applications in these fields.

This journal covers multiple aspects of machine learning, including but not limited to deep learning, clustering analysis, classification algorithms, regression analysis, reinforcement learning, and neural networks. At the same time, the journal also focuses on the application of knowledge extraction and data mining techniques in fields such as bioinformatics, medicine, social sciences, and business intelligence, emphasizing the extraction of useful information and patterns from big data to support decision-making and innovative research. The editorial team and review experts of the magazine come from around the world, and they are all leading figures in their respective fields, ensuring the high quality and innovation of the journal content. Through rigorous peer review, the journal ensures the academic value and scientific accuracy of published articles, providing a platform for researchers, engineers, scholars, and industry experts worldwide to share the latest research findings and cutting-edge technologies.

《機(jī)器學(xué)習(xí)與知識(shí)提取》是一份專(zhuān)注于機(jī)器學(xué)習(xí)、數(shù)據(jù)挖掘、知識(shí)發(fā)現(xiàn)和人工智能領(lǐng)域的國(guó)際學(xué)術(shù)期刊。該刊致力于發(fā)表原創(chuàng)性的研究論文、綜述文章和案例研究，旨在推動(dòng)這些領(lǐng)域的理論發(fā)展和實(shí)際應(yīng)用。

該期刊覆蓋了機(jī)器學(xué)習(xí)的多個(gè)方面，包括但不限于深度學(xué)習(xí)、聚類(lèi)分析、分類(lèi)算法、回歸分析、強(qiáng)化學(xué)習(xí)以及神經(jīng)網(wǎng)絡(luò)等。同時(shí)，期刊也關(guān)注知識(shí)提取和數(shù)據(jù)挖掘技術(shù)在生物信息學(xué)、醫(yī)學(xué)、社會(huì)科學(xué)、商業(yè)智能等領(lǐng)域的應(yīng)用，強(qiáng)調(diào)從大數(shù)據(jù)中提取有用信息和模式，以支持決策制定和創(chuàng)新研究。雜志的編輯團(tuán)隊(duì)和評(píng)審專(zhuān)家來(lái)自全球，他們都是各自領(lǐng)域的領(lǐng)軍人物，確保了期刊內(nèi)容的高質(zhì)量和創(chuàng)新性。通過(guò)嚴(yán)格的同行評(píng)審，期刊保證了發(fā)表文章的學(xué)術(shù)價(jià)值和科學(xué)準(zhǔn)確性，為全球的研究人員、工程師、學(xué)者以及行業(yè)專(zhuān)家提供了一個(gè)分享最新研究成果和前沿技術(shù)的平臺(tái)。

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