Data Mining and Databases: e-Journals

ISSN: 1063-8016
Published Quarterly. Est. 1990.
The Journal of Database Management (JDM) publishes original research on all aspects of database management, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology and management of information resources. The journal is targeted at both academic researchers and practicing IT professionals.

ISSN: 1548-3924
Published Quarterly. Est. 2005.
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.

ISSN: 2155-6377
Published Quarterly. Est. 2011.
The International Journal of Information Retrieval Research (IJIRR) publishes original, innovative, and creative research in the retrieval of information. This journal focuses on theories and methods with an enterprise-wide perspective and addresses interdisciplinary and multidisciplinary applications in data, text, and document retrieval. Targeting information engineers, scientists, and related professionals, IJIRR integrates interdisciplinary and multidisciplinary needs for a complete approach to the significant issue of data retrieval in the era of information fusion.