Titlebook: Net Gain; Profit im Netz John Hagel,Arthur G. Armstrong Book 1999 Springer Fachmedien Wiesbaden 1999 Erfolg.Management.Markt.Marktpositioni

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John Hagel III,Arthur G. Armstrongon mechanisms are similarity predicates are usually immersed in metric spaces. Metric Access Methods (MAMs) exploit the metric space properties to divide the metric space into regions and conquer efficiency on the processing of similarity queries, like range and .-nearest neighbor queries..Existing

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John Hagel III,Arthur G. Armstrongon mechanisms are similarity predicates are usually immersed in metric spaces. Metric Access Methods (MAMs) exploit the metric space properties to divide the metric space into regions and conquer efficiency on the processing of similarity queries, like range and .-nearest neighbor queries..Existing

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y join has attracted considerable attention. However, this operator does not consider the relationship among the elements in the answer, generating results with many pairs similar among themselves, which does not add value to the final answer. Result diversification methods are intended to retrieve

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John Hagel III,Arthur G. Armstrongcient and effective aggregate similarity search, also known as aggregate nearest neighbor (AggNN) search. Given a group of query objects ., the goal of AggNN is to retrieve the . most similar objects from the database, where the underlying similarity measure is defined as an aggregation (usually .,

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John Hagel III,Arthur G. Armstronged as a very efficient alternative for similarity retrieval. However, to the best of our knowledge, there are no previous works with experimental analysis on a comprehensive number of graph-based methods using the same search algorithm and execution environment. In this work, we survey the main grap

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anisms use a “just-in-time” approach where distances are calculated as part of a navigational strategy. An alternative is to use a“one-time” approach, where distances to a fixed set of reference objects are calculated at the start of each query. These distances are typically used to re-cast data and

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