《國際數據倉庫與挖掘雜志》（IJDWM）發布了數據管理和分析領域的最新國際研究成果。IJDWM為最先進的開發和研究提供了一個論壇，以及當前專注于數據倉庫和數據挖掘領域集成的創新活動。強調現實問題的適用性，滿足學術研究者和實踐IT專業人士的需求，致力于發表有關數據倉庫和數據挖掘的理論發展和實際應用的高質量論文。最初的研究論文、最新的評論和技術說明被邀請出版。該期刊接受提交與數據倉庫和數據挖掘相關的任何工作的論文。特別關注的是從數據倉庫挖掘數據的論文；數據庫、數據倉庫和數據挖掘的集成；以及挖掘和歸檔數據的整體方法。主題涵蓋算法應用程序問題數據集市數據挖掘數據挖掘方法數據模型數據結構數據倉庫數據倉庫流程設計知識發現過程挖掘數據庫在線分析過程實際問題工具和語言

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 data.Topics CoveredAlgorithmsApplications issuesData martData MiningData mining methodsData modelsData structuresData WarehousingData warehousing processDesignKnowledge discovery processMining databasesOnline analytical processPractical issuesTools and languages