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Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fields, including statistics, databases, pattern recognition and learning, data visualization, uncertainty modelling, data warehousing and OLAP, optimization, and high performance computing.
Data mining and knowledge discovery. 2024 May;38(3):1493-1519. DOI:10.1007/s10618-024-01006-1
Data mining and knowledge discovery. 2025;39(2):12. DOI:10.1007/s10618-024-01074-3
Data mining and knowledge discovery. 2024;38(6):3372-3413. DOI:10.1007/s10618-024-01045-8
Data mining and knowledge discovery. 2024;38(3):813-839. DOI:10.1007/s10618-023-00979-9
Data mining and knowledge discovery. 2020 Jul;34(4):980-1021. DOI:10.1007/s10618-020-00686-9
《DATA MINING AND KNOWLEDGE DISCOVERY》发布于爱科学网，并永久归类相关SCI期刊导航类别中，本站只是硬性分析 "《DATA MIN KNOWL DISC》" 杂志的可信度。学术期刊真正的价值在于它是否能为科技进步及社会发展带来积极促进作用。"《DATA MIN KNOWL DISC》" 的价值还取决于各种因素的综合分析。
此文由爱科学编辑！：首页 > SCI期刊 > 工程技术 » DATA MINING AND KNOWLEDGE DISCOVERY
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