By Barbara Catania, Lakhmi C. Jain

ISBN-10: 3642283225

ISBN-13: 9783642283222

ISBN-10: 3642283233

ISBN-13: 9783642283239

This study booklet provides key advancements, instructions, and demanding situations referring to complex question processing for either conventional and non-traditional info. a distinct emphasis is dedicated to approximation and adaptivity concerns in addition to to the mixing of heterogeneous facts sources.

The e-book will turn out precious as a reference publication for senior undergraduate or graduate classes on complicated information administration concerns, that have a distinct specialize in question processing and knowledge 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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Extra resources for Advanced Query Processing: Volume 1: Issues and Trends

Example text

Thus, although these approaches successfully decrease the size and, in some cases, also improve the computation speed of the reduced skyline set, it remains unclear if the resulting sets are more helpful to the user. The approaches presented in this section choose a different strategy for choosing objects from an unmanageable large skyline. Instead of relying on assumed structural semantics capturing interestingness, cooperative approaches interactively elicit additional preference information directly from the user in order to steer the selection of Skyline tuples from large result sets.

For actually returning a ranked skyline containing objects, a data structure similar to a skycube lattice is traversed based on the precedence preferences. For each level, the subspace nodes are ordered with respect of the precedence preference with subspaces containing more important dimensions to the left. The traversal starts at the top node representing the skyline of the full query space and an empty result set. , the left most child). , less than - size of the current result set), all skyline object of the current subspace are added to the result set and the evaluation continues with the next sibling to the right (the subspace with the next highest precedence).

Blue Metallic 110 hp Black better Fig. 1 Example $14000 partial order preferences for the domain $16000 of cars. 100 hp $20000 White 80 hp Price Color Horsepower $18000 worse Blue Skyline sets as introduced in [1] are defined using the Pareto semantics from the field of economy [11]: some object dominates an object , if and only if with respect to any attribute and is preferred over or is preferred over equivalent to with respect to all other attributes. 1. 1 (Dominance Relationships following Pareto Semantics).

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


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