You are previewing International Journal of Data Warehousing and Mining (IJDWM) Volume 12, Issue 3.
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International Journal of Data Warehousing and Mining (IJDWM) Volume 12, Issue 3

Book Description

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.

This issue contains the following articles:

  • Data Approximation for Time Series Data in Wireless Sensor Networks
  • A Cached-Based Stream-Relation Join Operator for Semi-Stream Data Processing
  • Optimizing ETL by a Two-Level Data Staging Method
  • A Workload Assignment Strategy for Efficient ROLAP Data Cube Computation in Distributed Systems