Convergence of big data technologies and computational intelligent techniques
著者
書誌事項
Convergence of big data technologies and computational intelligent techniques
（Advances in computational intelligence and robotics (ACIR) book series）（Premier reference source）
IGI Global, c2023
- : hardcover
大学図書館所蔵 全1件
注記
Includes bibliographical references (p. 211-227) and index
収録内容
- Twitter data analysis using Apache Streaming / Lavanya Sendhilvel, Kush Desai, Simran Adake, Rachit Bisaria, Hemang Vekariya
- Robust dimensionality reduction : a resistant search for the relevant information in complex data / Jan Kalina
- Covid-19 vaccination perceptions, issues and challenges an analysis of Tweets using machine learning model / Sreekantha Desai Karanam, Krithin M., R. Kulkarni
- IoT based health risk prediction by collecting and analyzing HIIT data in real-time using edge computing / Shrikrishn Bansal, Rajbir Kaur
- Big data in the context of digital journalism / Mustafa Eren Akpinar
内容説明・目次
内容説明
Advanced computational intelligence techniques have been designed and developed in recent years to cope with various big data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study.
Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in big data and computational intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as deep learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
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