By Barbara Catania, Lakhmi C. Jain

ISBN-10: 3642283225

ISBN-13: 9783642283222

ISBN-10: 3642283233

ISBN-13: 9783642283239

This study e-book offers key advancements, instructions, and demanding situations pertaining to complex question processing for either conventional and non-traditional information. a distinct emphasis is dedicated to approximation and adaptivity matters in addition to to the combination of heterogeneous information sources.

The ebook will end up valuable as a reference publication for senior undergraduate or graduate classes on complex information administration concerns, that have a unique concentrate on question processing and information integration. it really is aimed for technologists, managers, and builders who need to know extra approximately rising traits in complex question processing.

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Additional info for Advanced Query Processing: Volume 1: Issues and Trends

Sample text

Furthermore, when computing all subspace skylines for a skycube, specialized algorithms can be used which rely on different computation sharing techniques. Thus, computing a whole Skycube is more significantly more efficient than computing all subspace skylines individually. 7) either in a top-down or bottom-up manner. In the bottom-up approach, the skylines in a subspace are partly derived by merging the skylines from its child subspaces at the lower level. In the top-down approach, recursively enumerate all subspaces and compute their skylines from the top to bottom level.

Considering the definition of Pareto semantics, it is obvious that the manageability problems of skylines are heavily aggravated by incomparable attribute values. As soon as two database items are incomparable with respect to even a single attribute, the entire objects are incomparable and may both end up in the skyline. One could say that the Pareto semantics generally is ‘too fair’. The obvious solution to restrict skyline sizes is to move from full-fledged partial order preferences to total attribute orders (or at least weak orders), but this in turn might cause problems in the preference elicitation process (more user interactions, sometimes even the introduction of cyclic preferences).

Such an approach, if successful, can have the following two advantages, as we witnessed from the same success in Boolean query optimization: • Meta-algorithm framework: a single implementation can be used for a wide space of access scenarios.

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Advanced Query Processing: Volume 1: Issues and Trends by Barbara Catania, Lakhmi C. Jain


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