EVENT Nov 30
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Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Organization: Eurekas Community
Categories: Science, Engineering, Miscellaneous
Event Date: 2022-11-30 Abstract Due: 2022-11-30

Call for chapters

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications


Important dates

  • November 30, 2022: Full chapter submission
  • January 31, 2023: Review results returned
  • March 15, 2023: Revised chapter submission
  • March 31, 2023: Final acceptance/rejection decision
  • April 30, 2023: Copyediting, formatting, and proofreading
  • May 15, 2023: Production



Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications will collect the latest technological innovations and models of computational intelligence applied to data analytics. Contributions in a broad range of algorithms and approaches are welcome: machine learning, forecasting, sampling algorithms, decision-support heuristics, and metaheuristic algorithms, among other topics related to this field.

Additionally, authors may submit manuscripts providing a comprehensive literature review on algorithms and models for data analytics-oriented topics. Also, contributions presenting representative applications and challenging case studies are much appreciated. They should emphasize large, dynamic, complex, or distributed data generated from modern digital sources, like sensors, simulations, crowdsourcing, social networks, or other internet transactions (such as emails or video streams).

Also, the authors are expected to motivate readers to implement these technologies to form a Smart Business or Industry 4.0 environment and encourage researchers to continue contributing to this field.

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications is an editorial initiative of the Eurekas Community (eurekascommunity.org). Eurekas is an international and multidisciplinary scientific community that joins professionals in mathematics, computer sciences, engineering, administration, economics, and social sciences. They work together towards theoretical and practical developments useful for data and business analytics; in this way, they contribute to building the knowledge society and knowledge economy. It was founded in 2008 and has contributed multiple projects to that purpose. Eurekas is currently integrating more than 60 research groups in more than 20 countries in America and Europe. The submitted chapters will be accepted only after a stringent review process by our collaborators worldwide.


Recommended topics (not limited to)

  • Augmented Analytics
  • Big Data Environments
  • Case Studies and Applications
  • Data-driven Decisions
  • Data Visualization
  • Data Warehousing
  • Forecasting Methods
  • Fuzzy Sets and Fuzzy Logic
  • Knowledge Discovery
  • Knowledge Representation
  • Metaheuristic Algorithms
  • Multi-criteria Decision Making
  • Natural Language Processing
  • Operational Performance
  • Recommender Systems
  • Single and Multi-objective Optimization
  • Statistical Data Analysis
  • Supervised Learning Algorithms
  • Text Analytics
  • Unsupervised Learning Algorithms


Submission procedure

Researchers and practitioners are invited to submit, on or before November 30, 2022, a full chapter of 10,000 to 16,000 words clearly explaining the purpose, relevance, and contribution of their chapter at https://easychair.org/conferences/?conf=daci2022springerbook. All submitted manuscripts will be reviewed on a double-blind peer review basis. Accordingly, the submitted manuscript should be anonymized (without the authors' information). All interested authors must consult the guidelines for manuscript preparation before submission, which are available at https://www.springer.com/de/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation (see section “Chapters”). Here, both the Word and LaTeX templates may also be downloaded. The corresponding author must submit the proposal through the EasyChair online submission manager. Contributors may also be requested to serve as reviewers for this publication project.

Note: There are no acceptance or publication fees for manuscripts submitted to this book, Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications. The manuscripts will only be accepted after a peer-review editorial process.


This book is scheduled to be published by Springer in the Studies in Big Data series, a renowned book series indexed in SCOPUS, SCImago, zbMATH, and EI Compendex. For additional information regarding the publisher, please visit https://www.springer.com/series/11970. This publication is anticipated to be released during the second half of 2023.



  • Dr. Laura CRUZ-REYES, Tecnológico Nacional de México (Mexico)
  • Dr. Bernabé DORRONSORO, Universidad de Cádiz (Spain)
  • Dr. Gilberto RIVERA, Universidad Autónoma de Ciudad Juárez (Mexico)
  • Dr. Alejandro ROSETE, Universidad Tecnológica de La Habana "José Antonio Echeverría" (Cuba)



gilberto.rivera@uacj.mx (copy to riveragil@gmail.com)



Gilberto Rivera