By Maurizio Rafanelli, Visit Amazon's M. Rafanelli Page, search results, Learn about Author Central, M. Rafanelli,
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a quick heritage of the sector and distinguishes among what's new in contemporary examine and what's only a renaming of outdated strategies. The booklet studies earlier papers and discusses present study tasks within the desire to inspire the quest for brand new suggestions to the various difficulties which are nonetheless unsolved. furthermore Multidimensional Databases: difficulties and recommendations outlines the fantastic advances in know-how and ever expanding calls for from clients within the such a lot varied appropriate parts equivalent to finance, drugs, facts, enterprise, and plenty of extra. some of the such a lot individual and famous researchers have contributed to this e-book writing approximately their very own particular box.
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Additional info for Multidimensional Databases: Problems and Solutions
Sample text
A 2D statistical table (as in Figure 4), with the adding of columns and rows that show summarization over rows and columns respectively, is an example of these models. These totals are often referred to by statisticians as "marginals" (because they appear on the "margins" of tables). The marginals are usually not included in the database if they can be derived. However, in situations where summarizability does not hold, it is necessary to store these values in the database as well. It is generally not efficient to compute the marginals for very large datasets.
Consider, for example, the table "Employment in California" classified by "sex," "year," and by "professional categories"—"Professions" (the numbers are fictitious), taken from Rafanelli & Shoshani (1990) and shown in Figure 4. Figure 4: The 2-D Representation of a Multidimensional MADS It is obvious from this example that the values of average income are given for specific combinations of "sex," "year," and "profession" only. Thus, "professional category" is not part of the multi-dimensional space of this statistical object, but part of a "hierarchical" classification relationship, "professional categories" → "professions" (where the notation → means a one-to-many relationship).
Multidimensional Array (cube): This is a group of data cells arranged by the dimensions of the data. An example of a two-dimensional array is a spreadsheet, with the data cells arranged in rows and columns, each being a dimension. An example of a three-dimensional array is a cube, a physical metaphor of a multidimensional visualization of the data. Each dimension of the cube forms a side. A higher dimensional array has no physical metaphor, but they organize the data in the same way that users think of their enterprise.