Titlebook: Database and Expert Systems Applications; 24th International C Hendrik Decker,Lenka Lhotská,A Min Tjoa Conference proceedings 2013 Springer

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積習(xí)難改

https://doi.org/10.1007/978-3-642-29500-3 (ReMakE) as the problem of maximizing the query results obtained from the execution of only . rewritings. Additionally, a novel query execution strategy called GUN is proposed to solve the ReMakE problem. Our experimental evaluation demonstrates that GUN outperforms traditional techniques in terms

舔食

Preferences Chain Guided Search and Ranking Refinementnciple of progressive refinement provides a great flexibility to the user that can not only dynamically decide to stop the process whenever the results satisfies his/her wishes, but can also navigates in the different levels of ranking and be aware of the level of reliability of each successive refi

彎腰

Finding Image Semantics from a Hierarchical Image Database Based on Adaptively Combined Visual Featuces the search space. The search space so obtained is further reduced by applying any one of the four proposed ‘Pruning Algorithms’. Pruning algorithms maintain accuracy while reducing the search space. These algorithms use an adaptive combination of multiple visual features of an image database to

gain631

Gratuitous

虛弱的神經(jīng)

GUN: An Efficient Execution Strategy for Querying the Web of Data (ReMakE) as the problem of maximizing the query results obtained from the execution of only . rewritings. Additionally, a novel query execution strategy called GUN is proposed to solve the ReMakE problem. Our experimental evaluation demonstrates that GUN outperforms traditional techniques in terms

Intruder

APNEA

Invigorate

Formalization and Discovery of Approximate Conditional Functional Dependenciesobal FP-tree traversal for finding Right-hand Side items. Second, . uses a modified pruning strategy. Third, . adopts a minimal coverset that is used to exclude non-minimal approximate CFDs. For these algorithms, we theoretically proved the correctness and experimentally evaluated the performances.