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​Title: Big Data Analytics & Applications

Format: Acrobat (pdf), 6.97 Mb, 84 pages

Publication year: 2025

ISBN: 978-84-09-78845-3

BIC: GPH

Thema:

DOI: 10.13140/RG.2.2.25717.44006​

Edited by: Prof., Dr., Sergey Y. Yurish, IFSA President

Contact: +34 696067716, e-mail: SYurish@sensorsportal.com

Publisher: IFSA Publishing, S. L. (click the logo below)

Address: Parc UPC-PMT, Edifici RDIT-K2M c/ Esteve Terradas, 1, 08860 Castelldefels, Barcelona, Spain


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Aim and Scope


The 1st International Conference on Big Data Analytics & Applications (BDAA' 2025) aims to bring together leading researchers, practitioners, and industry experts to explore the latest advancements and real-world applications in the field of big data.


In an era where data is generated at an unprecedented scale, BDAA' 2025 provides a dynamic platform to discuss innovative methodologies, scalable systems, and analytical techniques that transform raw data into actionable insights.


The primary objective of BDAA' 2025 is to foster interdisciplinary collaboration among academics, data scientists, engineers, and decision-makers by promoting the exchange of ideas, tools, and strategies for managing, processing, and interpreting large-scale data.


The conference encourages contributions that address critical challenges in data-driven innovation, including data quality, privacy, machine learning, AI integration, cloud computing, and data visualization.


BD2A' 2025 is committed to showcasing cutting-edge research, facilitating networking opportunities, and nurturing the next generation of data professionals. By bridging theory and practice, the conference strives to contribute meaningfully to the advancement of knowledge and the responsible use of big data across various sectors including healthcare, finance, smart cities, cybersecurity, and beyond.


The scope of BDAA' 2025 spans foundational research, emerging technologies, and applied data science. We welcome technical papers that explore innovations in:

  • Scalable big data mining and learning algorithms
  • Stream analytics and real-time processing frameworks
  • Federated, self-supervised, and graph-based learning
  • Privacy-preserving analytics and ethical AI
  • Data integration, cleaning, and lifecycle automation
  • Visualization techniques and human-centered data exploration
  • Domain-specific applications in healthcare, finance, cybersecurity, IoT, and smart cities


Peer Review


All submitted papers have been preliminary peer reviewed by international reviewers. The authors have revised papers after review, and resubmitted it for the second round of review by the technical committee. By this way, all mandatory correction were made. All published papers have been presented at the event and opened for discussion.







CONTACT:



BDAA' 2025 Chairman: Prof., Dr. Sergey Y. Yurish,
Barcelona, Spain