TY - GEN N2 - This book features the proceedings of the 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2022). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. DO - 10.1007/978-3-031-28324-6 DO - doi AB - This book features the proceedings of the 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2022). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. T1 - 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing :BDCC 2022 / AU - Haldorai, Anandakumar, AU - Ramu, Arulmurugan, AU - Mohanram, Sudha, CN - QA76.9.S63 N1 - Includes index. ID - 1469725 KW - Soft computing KW - Big data SN - 9783031283246 SN - 3031283244 TI - 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing :BDCC 2022 / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28324-6 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28324-6 ER -