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Titlebook: Big Data Analytics and Knowledge Discovery; 23rd International C Matteo Golfarelli,Robert Wrembel,Ismail Khalil Conference proceedings 2021

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发表于 2025-3-21 19:05:14 | 显示全部楼层 |阅读模式
期刊全称Big Data Analytics and Knowledge Discovery
期刊简称23rd International C
影响因子2023Matteo Golfarelli,Robert Wrembel,Ismail Khalil
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Big Data Analytics and Knowledge Discovery; 23rd International C Matteo Golfarelli,Robert Wrembel,Ismail Khalil Conference proceedings 2021
影响因子This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. .The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions..The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.
Pindex Conference proceedings 2021
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Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBenchdata lake systems. However, these proposals are difficult to evaluate as there are no commonly shared criteria for comparing data lake systems. Thus, we introduce DLBench, a benchmark to evaluate and compare data lake implementations that support textual and/or tabular contents. More concretely, we
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Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL partitioning and data allocation algorithms, but they suffer when handling dynamic changes in query workload. On the other hand, Spark SQL has become a solution to process query workloads on big data, outside the DBMS realm. Unfortunately, Spark SQL incurs into significant random disk I/O cost, bec
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Selecting Subexpressions to Materialize for Dynamic Large-Scale Workloadssub-expressions. More recently, a few largely industry-led studies have focussed on the problem of identifying beneficial sub-expressions for large-scale workloads running outside of a DBMS for materialization purposes. However, these works have unfortunately ignored the large-scale workloads runnin
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A Chain Composite Item Recommender for Lifelong Pathwaysr fulfilling a personal lifelong project. This problem raises some specific challenges, since the recommendation process is constrained by the user profile, the time they can devote to the actions in the pathway, the obligation to smooth the learning curve of the user. We model lifelong pathways as
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Universal Storage Adaption for Distributed RDF-Triple StoresResource Description Framework (RDF) plays a big role in modelling and linking web data and their relations. Dedicated systems (RDF stores/triple stores) were designed to store and query the RDF data. Due to the size of RDF data, a distributed RDF store may use several federated working nodes to sto
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Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducitention has been given to the use of various document ranking algorithms to support the maintenance of CDDs. The typical approach is to represent the update document collection using a form of word embedding and to input this into a ranking model; the resulting document rankings can then be used to
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