The Big Data and Cognitive Computing Journal is a peer-reviewed journal that focuses on advancements and innovations at the intersection of big data and cognitive computing. It covers a wide range of topics including big data analytics, cognitive models, machine learning algorithms, natural language processing, data mining, neural networks, deep learning, and applications of cognitive computing in various domains such as healthcare, finance, smart cities, and industry.
Objective:
The primary objective of the journal is to provide a platform for researchers, practitioners, and academics to publish high-quality research papers, reviews, and case studies that advance the understanding and development of big data and cognitive computing technologies. It aims to foster collaboration and knowledge exchange among experts from academia, industry, and research institutions.
Interdisciplinary Approach:
The Big Data and Cognitive Computing Journal adopts an interdisciplinary approach, integrating insights and contributions from fields such as computer science, artificial intelligence, cognitive psychology, neuroscience, data science, and engineering. This collaborative perspective enables comprehensive exploration and innovation in methodologies, algorithms, and applications that leverage big data and cognitive computing techniques.
Impact:
The journal significantly impacts both academia and industry by influencing the development of new technologies, methodologies, and applications in big data analytics and cognitive computing. Its publications contribute to advancements in decision support systems, intelligent automation, predictive analytics, personalized services, and optimization of complex systems through data-driven insights and cognitive capabilities.
Significance:
The Big Data and Cognitive Computing Journal is significant in advancing the fields of big data and cognitive computing by disseminating authoritative research findings and practical insights. By publishing high-quality, peer-reviewed articles, the journal supports continuous improvement and innovation in technologies that harness the power of big data and cognitive computing, ultimately contributing to societal progress, economic growth, and transformative impacts in various sectors worldwide.
Journal Home: Journal Homepage
Editor-in-Chief: Prof. Dr. Min Chen
scope:
The Big Data and Cognitive Computing journal focuses on the intersection of big data analytics and cognitive computing technologies. Here are the key areas typically covered in this journal:
1. Big Data Analytics:
Techniques and methodologies for big data processing
Data mining and machine learning for big data
Scalable algorithms and systems for big data analytics
2. Cognitive Computing:
Cognitive models and architectures
Natural language processing and understanding
Knowledge representation and reasoning
3. AI and Machine Learning:
Deep learning and neural networks
Reinforcement learning in cognitive systems
Explainable AI and interpretable models
4. Cognitive Internet of Things (IoT):
IoT architectures and cognitive capabilities
Edge computing and cognitive IoT applications
Sensor data analytics and cognitive IoT systems
5. Cognitive Analytics and Decision Support:
Decision support systems based on cognitive computing
Predictive analytics and prescriptive analytics
Real-time analytics and cognitive insights
6. Applications of Big Data and Cognitive Computing:
Healthcare analytics and personalized medicine
Financial analytics and risk management
Smart cities and urban analytics
7. Cognitive Security and Privacy:
Security and privacy issues in cognitive computing
Trust and ethical considerations
Cognitive cybersecurity and threat intelligence
8. Emerging Technologies and Innovations:
Blockchain and decentralized computing in cognitive systems
Quantum computing and cognitive applications
Applications of cognitive computing in novel domains
Print ISSN: 25042289
Electronic ISSN:
Abstracting and Indexing: Scopus, ESCI
Imapct Factor 2023: 3.7
Subject Area and Category: Business, Management and Accounting, Management Information Systems, Computer Science, Artificial Intelligence, Computer Science Applications, Information Systems
Publication Frequency:
H Index: 33
Q1:
Q2: Artificial Intelligence
Q3:
Q4:
Cite Score: 7.1
SNIP: 1.394
Journal Rank(SJR): 0.82
Latest Articles: Latest Articles in Big Data and Cognitive Computing
Guidelines for Authors: Big Data and Cognitive Computing Author Guidelines
Paper Submissions: Paper Submissions in Big Data and Cognitive Computing
Publisher: MDPI AG
Country: Switzerland
