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Computational Science and Computational Intelligence : 11th International Conference, CSCI 2024, Las Vegas, NV, USA, December 11–13, 2024, Proceedings, Part IX / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Farzan Shenavarmasouleh, Soheyla Amirian, Farid Ghareh Mohammadi.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Arabnia, Hamid R.
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 2509
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Computational linguistics.
- Machine learning.
- Natural language processing (Computer science).
- Computational Intelligence.
- Artificial Intelligence.
- Computational Linguistics.
- Machine Learning.
- Natural Language Processing (NLP).
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Computational Linguistics.
- Machine Learning.
- Natural Language Processing (NLP).
- Physical Description:
- 1 online resource (433 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This CCIS book constitutes selected papers accepted in the Research Track on Big Data and Data Science and the Research Track on Social Network Analysis, Social Media and Mining held as part of the International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11–13, 2024. The Research Track on Big Data and Data Science, CSCI-RTBD, received 72 submissions of which 18 papers were accepted. For the Research Track on Social Network Analysis, Social Media and Mining, CSCI-RTNA, 7 papers were accepted from 41 submissions. They were organized in topical sections on Big Data and Data Science - applications and algorithms; Social Network Analysis, Social Media, and Mining; and Ongoing Research Projects and Posters. .
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-94953-6
- OCLC:
- 1544971023
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