Results 11 to 20 of about 51,010 (204)
Co-Designing Local Collaboration Between Social Services, Primary Healthcare, and the Third Sector-A Realist Process Evaluation. [PDF]
Health ExpectABSTRACT Introduction Co‐design is increasingly used to develop research interventions and community services, highlighting the need for a deeper understanding of how this method drives change. This study evaluates the contextual factors and mechanisms shaping a co‐design process intended to foster local collaboration between social services, primary ...
Flink M +7 more
europepmc +2 more sources
Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method
IET Networks, Accepted Article., 2022 This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley +1 more source
SPOT: Testing Stream Processing Programs with Symbolic Execution and Stream Synthesizing
Applied Sciences, 2021 Adoption of distributed stream processing (DSP) systems such as Apache Flink in real-time big data processing is increasing. However, DSP programs are prone to be buggy, especially when one programmer neglects some DSP features (e.g., source data ...
Qian Ye, Minyan Lu
doaj +1 more source
VeilGraph: incremental graph stream processing
Journal of Big Data, 2022 Graphs are found in a plethora of domains, including online social networks, the World Wide Web and the study of epidemics, to name a few. With the advent of greater volumes of information and the need for continuously updated results under temporal ...
Miguel E. Coimbra +3 more
doaj +1 more source
Scalable online learning for flink [PDF]
Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, 2018 Driven by the needs of Flink to expand the offline engine to a hybrid one, a new machine learning (ML) library, called SOLMA is proposed. This library aims to cover online learning algorithms for data streams. In this setting, data streams are processed sequentially example by example.
Waqas Jamil +5 more
openaire +2 more sources
Survey of streaming processing field
Труды Института системного программирования РАН, 2018 This article is devoted to review of current state of streaming processing field including. This includes some historical aspects and mentioning of leaps of technologies development.
R. S. Samarev
doaj +1 more source
MAB, 2005 ‘Totaalbedrag overnames flink omhoog’ (Het Financieele Dagblad, 30 juni 2005) ‘Overnamekoorts in Europa’ (idem, 20 juli 2005) ‘Overnames op hoogste niveau in vijf jaar tijd’ (idem, 28 september 2005) Deze drie recente krantenkoppen uit Het Financieele
Martin Hoogendoorn
doaj +3 more sources
A Comparison of Big Data Frameworks on a Layered Dataflow Model [PDF]
, 2016 In the world of Big Data analytics, there is a series of tools aiming at simplifying programming applications to be executed on clusters. Although each tool claims to provide better programming, data and execution models, for which only informal (and ...
Aldinucci, Marco +3 more
core +2 more sources
Evaluating associative classification algorithms for Big Data
Big Data Analytics, 2019 Background Associative Classification, a combination of two important and different fields (classification and association rule mining), aims at building accurate and interpretable classifiers by means of association rules.
Francisco Padillo +2 more
doaj +1 more source
Comparative Study of Record Linkage Approaches for Big Data
Walailak Journal of Science and Technology, 2021 Record linkage is a challenging task for Big Data. This paper, hence, attempts to shed light on record linkage approaches for Big Data by comparing three dimensions involving record linkage phases, dataset properties, and parallel processing approach ...
Randa MOHAMED +3 more
doaj +3 more sources