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13. 
Behavior Engineering and Applications için kapak resmi
Behavior Engineering and Applications
Behavior Engineering and Applications
Yazar 
Wong, Raymond. editor.
https://doi.org/10.1007/978-3-319-76430-6
Format: 
Electronic Resources
Alıntı: 
1 Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced Machine Learning Problems -- 2
14. 
The Data Science Design Manual için kapak resmi
The Data Science Design Manual
The Data Science Design Manual
Yazar 
Skiena, Steven S. author.
https://doi.org/10.1007/978-3-319-55444-0
Format: 
Electronic Resources
Alıntı: 
, and machine learning, with a distinct heft and character of its own. Practitioners in these and
15. 
Group Processes Data-Driven Computational Approaches için kapak resmi
Group Processes Data-Driven Computational Approaches
Group Processes Data-Driven Computational Approaches
Yazar 
Pilny, Andrew. editor.
https://doi.org/10.1007/978-3-319-48941-4
Format: 
Electronic Resources
Alıntı: 
, relational event modeling, social simulation, machine learning, social sequence analysis, and response
17. 
Emerging Technology and Architecture for Big-data Analytics için kapak resmi
Emerging Technology and Architecture for Big-data Analytics
Emerging Technology and Architecture for Big-data Analytics
Yazar 
Chattopadhyay, Anupam. editor. (orcid)0000-0002-8818-6983
https://doi.org/10.1007/978-3-319-54840-1
Format: 
Electronic Resources
Alıntı: 
Java Virtual Machine on a Many-core System -- Chapter 2.Scaling the Java Virtual Machine on a Many-core
18. 
Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II için kapak resmi
Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II
Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II
Yazar 
Abramowicz, Witold. editor. (orcid)0000-0001-5464-9698
https://doi.org/10.1007/978-3-030-20482-2
Format: 
Electronic Resources
Alıntı: 
Semantic Models and Deep Learning -- Enhancing Supply Chain Risk Management by Applying Machine Learning to
19. 
Data Science and Predictive Analytics Biomedical and Health Applications using R için kapak resmi
Data Science and Predictive Analytics Biomedical and Health Applications using R
Data Science and Predictive Analytics Biomedical and Health Applications using R
Yazar 
Dinov, Ivo D. author.
https://doi.org/10.1007/978-3-319-72347-1
Format: 
Electronic Resources
Alıntı: 
Machine-Learning Methods: Neural Networks and Support Vector Machines -- 12 Apriori Association Rules Learning
20. 
Data Science and Big Data: An Environment of Computational Intelligence için kapak resmi
Data Science and Big Data: An Environment of Computational Intelligence
Data Science and Big Data: An Environment of Computational Intelligence
Yazar 
Pedrycz, Witold. editor.
https://doi.org/10.1007/978-3-319-53474-9
Format: 
Electronic Resources
Alıntı: 
Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data -- An Efficient
21. 
Internet of Things and Big Data Analytics Toward Next-Generation Intelligence için kapak resmi
Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
Yazar 
Dey, Nilanjan. editor.
https://doi.org/10.1007/978-3-319-60435-0
Format: 
Electronic Resources
Alıntı: 
Robotics -- Big Data Analytics with Machine Learning Tools -- Real time big data analytics to derive
23. 
Business Information Systems 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings için kapak resmi
Business Information Systems 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings
Business Information Systems 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings
Yazar 
Abramowicz, Witold. editor.
https://doi.org/10.1007/978-3-319-93931-5
Format: 
Electronic Resources
Alıntı: 
: Towards a New Understanding of Quality Assurance Using Machine Learning Tools -- Business and Enterprise
24. 
Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I için kapak resmi
Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I
Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I
Yazar 
Abramowicz, Witold. editor. (orcid)0000-0001-5464-9698
https://doi.org/10.1007/978-3-030-20485-3
Format: 
Electronic Resources
Alıntı: 
Regression -- An Effective Machine Learning Framework for Data Elements Extraction from the Literature of
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Corchuelo, Rafael. editor. (orcid)0000-0003-1563-6979
(2)
Satapathy, Suresh Chandra. editor.
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