Titlebook: Data Science; 6th International Co Jianchao Zeng,Weipeng Jing,Zeguang Lu Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 202

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General Model for Index Recommendation Based on Convolutional Neural Networkfrom data and workload, which greatly improves the classification accuracy. In the test set, the accuracy of model classification reaches over .. CNNIR has good robustness which can perform well under a series of different learning rate settings. Through experiments on MongoDB, the indexes recommended by CNNIR is effective and transferable.

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Conference proceedings 2020 language processing, security, algorithm, application, and education..The chapter  “Highly Parallel SPARQL Engine for RDF” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..

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Eric Nisenbaum,Elizabeth A. Nicollister. Since data processing was added to query time prediction, the method can be implemented in any set of data-queries. Experiments show that the engine can optimize time and maximize the use of memory when processing batch SPARQL queries.