By Barbara Catania, Lakhmi C. Jain
This examine ebook offers key advancements, instructions, and demanding situations referring to complicated question processing for either conventional and non-traditional facts. a unique emphasis is dedicated to approximation and adaptivity concerns in addition to to the mixing of heterogeneous info sources.
The publication will turn out invaluable as a reference ebook for senior undergraduate or graduate classes on complicated info administration matters, that have a unique specialise in question processing and knowledge integration. it truly is aimed for technologists, managers, and builders who need to know extra approximately rising tendencies in complex question processing.
Read Online or Download Advanced Query Processing: Volume 1: Issues and Trends PDF
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Additional info for Advanced Query Processing: Volume 1: Issues and Trends
Preference Queries with SV-Semantics. In: 11th Int. Conf. : Finding k-Dominant Skylines in High Dimensional Space. In: ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2006), Chicago, Illinois, USA (2006) 36 C. -T. : Approximately Dominating Representatives. , Libkin, L. ) ICDT 2005. LNCS, vol. 3363, pp. 204–214. : Efficient Computation of the Skyline Cube. In: 31st Int. Conf. : Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. In: 31st Int. Conf. : Towards Multidimensional Subspace Skyline Analysis.
100 hp $20000 White 80 hp Price Color Horsepower $18000 worse Blue Skyline sets as introduced in  are defined using the Pareto semantics from the field of economy : 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). 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.
3363, pp. 204–214. : Efficient Computation of the Skyline Cube. In: 31st Int. Conf. : Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. In: 31st Int. Conf. : Towards Multidimensional Subspace Skyline Analysis. : On High Dimensional Skylines. , Böhm, C. ) EDBT 2006. LNCS, vol. 3896, pp. 478–495. : Ranking the Sky: Discovering the Importance of Skyline Points through Subspace Dominance Relationships. : The Anatomy of a Large-Scale Hypertextual Web Search Engine.