Read e-book online Multidimensional Databases: Problems and Solutions PDF

By Maurizio Rafanelli, Visit Amazon's M. Rafanelli Page, search results, Learn about Author Central, M. Rafanelli,

ISBN-10: 1591400538

ISBN-13: 9781591400530

Multidimensional Databases: difficulties and options strives to be the purpose of reference for crucial matters within the box of multidimensional databases. This booklet offers a quick heritage of the sphere and distinguishes among what's new in fresh examine and what's simply a renaming of previous strategies. The booklet stories earlier papers and discusses present examine tasks within the desire to inspire the hunt for brand new recommendations to the various difficulties which are nonetheless unsolved. moreover Multidimensional Databases: difficulties and options outlines the excellent advances in expertise and ever expanding calls for from clients within the so much diversified acceptable parts reminiscent of finance, drugs, records, enterprise, and plenty of extra. some of the such a lot distinct and recognized researchers have contributed to this publication writing approximately their very own particular box.

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Another important observation refers to the alias node: an alias node is a shorthand and represents a reference to the entire structure, having as its root the original node, or simply to the entire domain of the original node, if it is a circle node. Alias references are allowed only within the same composite MAD. Butterfly nodes, aliases, and marginals allow a very compact representation of the MAD (in Figure 16) to be obtained. S. towns. In this fragment the towns are grouped by state and two subtotals are also displayed, one representing the aggregate population of the listed towns, and the other representing the whole population of the state.

This union is performed only if a common dimension, along which such a union is made, exists. For example, in Figure 6 an example of composite MADSs (represented by a table) is shown. Also in this case the MADS can be split into two (or more) MADSs, each of them with a unique summary type. , a complex-composite MADS, as shown in Figure 7. , if they have been obtained by applying the same aggregation function, and the collection of units of observation (microdata) involved is exactly the same. Malvestuto makes the assumptions that 1) the category attributes partition the population and that 2) the aggregation function is additive.

This is accomplished by selecting an arbitrary order of the dimensions for rows and columns, as mentioned above. , the title of the 2-D table) represents the summary measure for this dataset and can express other dimensions implicitly. " In this case, as we will see in the 42 Chapter I: Basic Notions Chapter I: Basic Notions 43 following, a primitive domain of the dimension (and of the different descriptive attributes in a classification hierarchy of a dimension) is defined as a common reference of the primary concept (in this case, "state" and "year").

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Multidimensional Databases: Problems and Solutions by Maurizio Rafanelli, Visit Amazon's M. Rafanelli Page, search results, Learn about Author Central, M. Rafanelli,


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