Big Data Mining and Analytics - Tsinghua University Press | 2024 Impact Factor: 6.2 | Cite Score: 19.8 | Q1

Big Data Mining and Analytics - Tsinghua University Press | 2024 Impact Factor: 6.2 | Cite Score: 19.8 | Q1

• About this Journal:
• Big Data Mining and Analytics discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications. It addresses the most innovative developments, research issues and solutions in big data research and their applications. Big Data Mining and Analytics is indexed and abstracted in ESCI, EI, Scopus, DBLP Computer Science, INSPEC, CSCD, DOAJ, etc.An international peer-reviewed open access journal focusing on theory, methodology, and applications of big data mining and analytics.
• Jointly published by Tsinghua University Press and IEEE, aiming to promote global academic exchange and dissemination of innovative research.
• Publishes original research articles, reviews, and case studies spanning computer science, data engineering, and real-world applications.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Yi Pan, Weimin Zheng

• Scope of the Journal:
• Big data mining theories, models, and algorithms;
• Scalable data processing frameworks and systems;
• Machine learning, deep learning, and AI for big data;
• Data fusion, integration, and heterogeneous data analysis;
• Applications in healthcare, smart cities, finance, IoT, and social media;
• Data visualization, interpretability, and decision-making support;
• Security, privacy, and ethical issues in big data analytics.
• Latest Research Topics for PhD in Computer Science
• Latest Research Topics for PhD in Machine Learning
• Latest Research Topics for PhD in Artificial Intelligence
• Latest Research Topics for PhD in Data Mining
• Latest Research Topics for PhD in Big Data

• Print ISSN:  20960654

  Electronic ISSN:  2097406X

• Abstracting and Indexing:  Emerging Sources Citation Index (ESCI), Scopus

• Imapct Factor 2024:  6.2

• Subject Area and Category:  Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Information Systems

• Publication Frequency:  

• H Index:  44

• Best Quartile:

  Q1:  Artificial Intelligence

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  19.8

• SNIP:  2.826

• Journal Rank(SJR):  1.334

• Latest Articles:   Latest Articles in Big Data Mining and Analytics - Tsinghua University Press | 2024 Impact Factor: 6.2 | Cite Score: 19.8 | Q1

• Guidelines for Authors: Big Data Mining and Analytics - Tsinghua University Press | 2024 Impact Factor: 6.2 | Cite Score: 19.8 | Q1 Author Guidelines

• Paper Submissions: Paper Submissions in Big Data Mining and Analytics - Tsinghua University Press | 2024 Impact Factor: 6.2 | Cite Score: 19.8 | Q1

• Publisher:  Tsinghua University Press

  Country:  China

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