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

By Barbara Catania, Lakhmi C. Jain

ISBN-10: 3642283225

ISBN-13: 9783642283222

ISBN-10: 3642283233

ISBN-13: 9783642283239

This examine publication offers key advancements, instructions, and demanding situations relating complex question processing for either conventional and non-traditional facts. a different emphasis is dedicated to approximation and adaptivity concerns in addition to to the combination of heterogeneous info sources.

The e-book will turn out worthy as a reference booklet for senior undergraduate or graduate classes on complex info administration concerns, that have a distinct specialize in question processing and information integration. it's aimed for technologists, managers, and builders who need to know extra approximately rising developments in complicated question processing.

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

Sample text

1. 1 (Dominance Relationships following Pareto Semantics). 1, … : o , o , 1, … , denotes the i-th component of the database tuple o . 2 (Skyline Set). | For actually computing a skyline set, there are multiple algorithms available which can be classified into Block Nested Loop algorithms, Divide-and-Conquer algorithms, and Multi-Scan Algorithms. Basically, each object has to be compared to each other one and tested for dominance. However, advanced algorithms try to avoid testing every object pair by employing optimizations and advanced techniques to eliminate as many objects as possible early in the computation process.

4, it can be observed that the isolated object , 1 now dominates the object , 2 which shows an overall solid performance, and thus might have been a good choice for many users which is not available anymore. A less aggressive dominance criterion is provided by the substitute value (SV) semantics in [24] which consider Pareto incomparable values within one attribute preference as being equal if they share the same parents and children within the partial preference order. Naturally, the resulting SV skylines will be larger than a corresponding weak skyline.

1 Skycubes and Subspace Analysis Focusing on computing and analyzing subspace skylines is a very popular approach to derive rankings of Skyline objects. However, computing a larger number of subspace Skylines is prohibitively expensive for online algorithms. Thus, in order to enable the extended use of subspace analysis, skycubes [27] have been developed. Skycubes are similar to datacubes used in data warehousing in that respect that they contain all precomputed non-empty skylines of all (possibly up to 2 1) subspaces of a given dataset.

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


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