Titlebook: Development Methodologies for Big Data Analytics Systems; Plan-driven, Agile, Manuel Mora,Fen Wang,Hector Duran-Limon Book 2024 The Editor

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Ashwin Alias,R. Abhijith,Vineetha Thankachanally framed using a generic BDAS pipeline derived from the main BDAS literature and the new NIST Big Data Reference Architecture (NBDRA). Our descriptive review, thus, provides theoretical and practical insights for implementing BDAS services.

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Green Business Process Managementng, Cham, 2020), inter alia), or experimentation (RapidMiner, Orange, Weka, Tensorflow, etc.), but we are not aware of any management tools that tie them together and ensure methodology compliance. To the best of our knowledge, to date, no requirement analysis exists for a system that meets the need

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Der neue Goldrausch: Green to Gold,re still scarce in the literature. In this chapter, we address this knowledge gap, and using the ISO/IEC 29110 standard – Basic profile – as a theoretical expected lightweight development process, we report a selective conceptual review between CRISP-DM – the main rigor-oriented BDAS methodology – a

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https://doi.org/10.1007/978-3-031-54188-9 vs. lightweight or agile BDAS development methodologies are still scarce in the literature. In this chapter, we address this knowledge gap, and we report a comparative review between CRISP-DM – the main rigor-oriented BDAS methodology – and Team Data Science Process (TDSP), a new relevant proprieta

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Amandine L. Flourat,Florent Allaism-size teams. They have used agile development methodology that enabled them to create rapid development, continuous improvement, increased stakeholder participation, and ability to develop with incomplete big data expertise. It also has some challenges that include repeated conflict, feature intera

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Jean-Marie Chauvet,Honorine Lescieux-Katirf the lesion. For both datasets, the same preprocessing approach was used to enhance image quality. This involved normalizing the images and applying contrast limited adaptive histogram equalization (CLAHE). The efficacy of the preprocessing techniques was evaluated by comparing the performance of t