3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020) proceedings are featured in this book, which focuses on cognitive computing and its self-learning systems using data mining, pattern recognition, and NLP to mirror the human brain. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

Format: Paperback / softback
Length: 250 pages
Publication date: 21 December 2022
Publisher: Springer Nature Switzerland AG

The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020) brought together experts from around the world to explore innovative solutions for cognitive computing. This conference, held from December 18 to 19, 2020, showcased cutting-edge technologies that utilize data mining, pattern recognition, and natural language processing (NLP) to emulate the workings of the human brain. With a strong emphasis on knowledge representation techniques and natural language processing algorithms, the conference delved into dynamic learning approaches and their applications in various domains.

The conference covered a wide range of topics, including Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. Each topic was explored in depth, with speakers sharing their insights and research findings.

One of the key highlights of the conference was the emphasis on sustainable cognitive computing. The participants recognized the importance of developing technologies that are resource-efficient, environmentally friendly, and socially responsible. They discussed strategies for optimizing cognitive systems to minimize their energy consumption, reduce carbon footprint, and address ethical concerns related to data privacy and surveillance.

Another notable aspect of the conference was the collaboration between researchers from different fields. The conference brought together experts from computer science, psychology, linguistics, and other disciplines to exchange ideas and collaborate on developing new solutions for cognitive computing. This interdisciplinary approach facilitated the exploration of complex problems and the development of innovative approaches that can have a significant impact on society.

Overall, the EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing was a successful event that showcased the latest advancements in cognitive computing and its applications. The conference provided a platform for researchers, industry professionals, and policymakers to come together and discuss the future of cognitive computing, and it laid the groundwork for further collaborations and advancements in this field.

The conference proceedings, which include the presentations, panel discussions, and workshops, are now available in an online repository. This resource will be valuable for researchers, students, and practitioners interested in cognitive computing and its applications.
The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020) was a groundbreaking event that brought together experts from around the world to explore innovative solutions for cognitive computing. This conference, held from December 18 to 19, 2020, showcased cutting-edge technologies that utilize data mining, pattern recognition, and natural language processing (NLP) to emulate the workings of the human brain. With a strong emphasis on knowledge representation techniques and natural language processing algorithms, the conference delved into dynamic learning approaches and their applications in various domains.

The conference covered a wide range of topics, including Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. Each topic was explored in depth, with speakers sharing their insights and research findings.

One of the key highlights of the conference was the emphasis on sustainable cognitive computing. The participants recognized the importance of developing technologies that are resource-efficient, environmentally friendly, and socially responsible. They discussed strategies for optimizing cognitive systems to minimize their energy consumption, reduce carbon footprint, and address ethical concerns related to data privacy and surveillance.

Another notable aspect of the conference was the collaboration between researchers from different fields. The conference brought together experts from computer science, psychology, linguistics, and other disciplines to exchange ideas and collaborate on developing new solutions for cognitive computing. This interdisciplinary approach facilitated the exploration of complex problems and the development of innovative approaches that can have a significant impact on society.

Overall, the EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing was a successful event that showcased the latest advancements in cognitive computing and its applications. The conference provided a platform for researchers, industry professionals, and policymakers to come together and discuss the future of cognitive computing, and it laid the groundwork for further collaborations and advancements in this field.

The conference proceedings, which include the presentations, panel discussions, and workshops, are now available in an online repository. This resource will be valuable for researchers, students, and practitioners interested in cognitive computing and its applications.

Weight: 409g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030787523
Edition number: 1st ed. 2022