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.
