This paper aims to fill this timely research gap by proposing ranking criteria (called Bench-ranking) that provide prescriptive analytics via ranking functions.
Nov 18, 2021 · This paper aims to fill this timely research gap by proposing ranking criteria (called Bench-ranking) that provide prescriptive analytics via ...
Abstract—Leveraging Big Data (BD) processing frameworks to process large-scale Resource Description Framework (RDF) datasets holds a great interest in ...
This paper aims to fill this timely research gap by proposing ranking criteria (called Bench-ranking) that provide prescriptive analytics via ranking functions.
Bench-Ranking: First Step Towards Prescriptive Analyses of Spark-SQL Distributed RDF Data Processing. Intro. Leveraging Big Data (BD) processing frameworks ...
Jan 13, 2023 · “Bench-Ranking: A. First Step Towards Prescriptive Performance Analyses For Big Data. Frameworks”. In: 2021 IEEE International Conference on Big ...
Bibliographic details on Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks.
Bench-ranking: a first step towards prescriptive performance analyses for big data frameworks ... 2019. Towards Prescriptive Analyses of Querying Large Knowledge ...
Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks ; Pages. 241–251 ; ISBN. 9781665439022 ; Status. Published ; DOI. http ...
Mar 3, 2023 · The thesis investigates how to enable prescriptive analytics via ranking criteria. We designed a PPA framework (called "Bench-Ranking") that ...
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