Proceedings of 8th Edition of International Conference on Big Data & Data Science 2019 PDF Download
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Author: Euroscicon Publisher: EuroScicon ISBN: Category : Computers Languages : en Pages : 46
Book Description
March 04-05, 2019, Barcelona, Spain Key Topics: Big Data Analytics ,Big Data Algorithms ,Big Data In Bioinformatics ,Data Mining With Big Data ,Visualization In Big Data ,Big Data In Neural Network For Deep Learning ,High Performance Computing For Big Data ,Machine Learning In Data Science ,Open Science In Big Data ,Hadoop Map-Reduce For Analyzing Information ,Regression In Data Science ,Big Data Applications
Author: Euroscicon Publisher: EuroScicon ISBN: Category : Computers Languages : en Pages : 46
Book Description
March 04-05, 2019, Barcelona, Spain Key Topics: Big Data Analytics ,Big Data Algorithms ,Big Data In Bioinformatics ,Data Mining With Big Data ,Visualization In Big Data ,Big Data In Neural Network For Deep Learning ,High Performance Computing For Big Data ,Machine Learning In Data Science ,Open Science In Big Data ,Hadoop Map-Reduce For Analyzing Information ,Regression In Data Science ,Big Data Applications
Author: Xin-She Yang Publisher: Springer Nature ISBN: 981993236X Category : Technology & Engineering Languages : en Pages : 1119
Book Description
This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.
Author: Euroscicon Publisher: EuroScicon ISBN: Category : Medical Languages : en Pages : 50
Book Description
March 07-08,2019, Berlin,Germany, Key Topics: Heart Diseases, Cardiologists, Endocrinology Of The Heart, Cardiac Anaesthesia, Cardiac Nursing And Healthcare, Paediatric And Fetal Cardiology, Geriatric Cardiology, Cardiac Immunology, Women In Heart Disease, Cardio-Oncology, Cardiac Technology, Psychiatry And Neurocardiology, Veterinary Cardiology, Genomics In Heart Disease, Microbiology Of Heart, Cardiac Regeneration, Therapeutic Advances In Heart Failure, Cardiac Markers, Innovative New Cardiac Imaging, Heart Disease And Nutrition, Predictive Risk Factors For Heart Disease, Cardio Metabolic Health, Adverse Drug Reactions Monitoring, Cardiovascular Rehabilitation, Palliative Care And Heart Failure, Advances In Heart Diseases, Myths About Heart Disease, Heart Healthy Lifestyle, Case Reports On Cardiology, Cardiovascular Disease Mortality Rate, Cardiology Fellowship Competitiveness,
Author: Euroscicon Publisher: EuroScicon ISBN: Category : Languages : en Pages : 42
Book Description
January 28-29, 2019, Barcelona, Spain, Key Topics: Dental Surgeries And Innovations, Oral Microbiology, Oral Pathology, Oral Oncology, Oral Diseases, Dental Products And Marketing, Imaging And Digital Dentistry, Dentistry Research, Dental Trauma, Dentistry, Advancements In Dentistry, Trends In Dentistry, Dental Hygiene, Innovations And Techniques In Dentistry, Dental Public Health,
Author: Piyush Kumar Shukla Publisher: CRC Press ISBN: 1000858812 Category : Computers Languages : en Pages : 231
Book Description
Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies. This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects. The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.
Author: Rohit Anand Publisher: CRC Press ISBN: 1000906094 Category : Computers Languages : en Pages : 267
Book Description
Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure, and real-time data monitoring. Features: Presents an integrated approach to solve the problems related to security, reliability, and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture, smart healthcare systems, smart cities and many other modern systems based on machine learning, artificial intelligence, and big data, etc. Information presented in a simplified way for students, researchers, academicians and scientists, business innovators and entrepreneurs, management professionals and practitioners. This book can be great reference for graduate and postgraduate students, researchers, and academicians working in the field of computer science, cloud computing, artificial intelligence, etc.
Author: Kim-Kwang Raymond Choo Publisher: Springer Nature ISBN: 3030385574 Category : Computers Languages : en Pages : 397
Book Description
This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.
Author: Azevedo, Ana Publisher: IGI Global ISBN: 1799857832 Category : Computers Languages : en Pages : 250
Book Description
As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.
Author: Euroscicon
Author: Euroscicon
Author: Euroscicon
Author: Euroscicon
Author: Xin-She Yang
Author: Euroscicon
Author: Euroscicon
Author: Piyush Kumar Shukla
Author: Rohit Anand
Author: Kim-Kwang Raymond Choo
Author: Azevedo, Ana