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New Trends in Data Warehousing and Data Analysis

  • Book
  • © 2009

Overview

  • Presents the most up-to-date research and achievements in data warehousing and on-line analytical processing technologies
  • Provides a current bibliography of published works and recent research achievements
  • Considers newly emerging areas in data warehousing, especially concerning XML-based and WEB-based data sources

Part of the book series: Annals of Information Systems (AOIS, volume 3)

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Table of contents (15 chapters)

Keywords

About this book

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging.

New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.

Editors and Affiliations

  • Inst. Computing Science, Silesian University of Technology, Gliwice, Poland

    Stanislaw Kozielski

  • Inst. Computing Science, Poznan University of Technology, Poznan, Poland

    Robert Wrembel

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