The International Journal of Data Warehousing and Mining (IJDWM) disseminates the latest international research findings in the areas of data management and analyzation. IJDWM provides a forum for state-of-the-art developments and research, as well as current innovative activities focusing on the integration between the fields of data warehousing and data mining. Emphasizing applicability to real world problems, this journal meets the needs of both academic researchers and practicing IT professionals.The journal is devoted to the publications of high quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. The journal accepts paper submission of any work relevant to data warehousing and data mining. Special attention will be given to papers focusing on mining of data from data warehouses; integration of databases, data warehousing, and data mining; and holistic approaches to mining and archiving

《国际数据仓库和数据挖掘杂志》（IJDWM）传播数据管理和分析领域的最新国际研究成果。IJDWM 为最先进的发展和研究以及当前专注于数据仓库和数据挖掘领域整合的创新活动提供了一个论坛。该杂志强调对现实世界问题的适用性，满足学术研究人员和 IT 专业人士的需求。该杂志致力于发表有关数据仓库和数据挖掘理论发展和实际应用的高质量论文。欢迎发表原创研究论文、最新评论和技术说明。该杂志接受任何与数据仓库和数据挖掘相关的论文提交。将特别关注数据仓库数据挖掘；数据库、数据仓库和数据挖掘的集成；以及挖掘和归档的整体方法

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映COMPUTER SCIENCE, SOFTWARE ENGINEERING领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为0.5，平均审稿速度为 12周，或约稿 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。