Big Data Mining and Analytics

Big Data Mining and Analytics, a publication by Tsinghua University Press, presents groundbreaking research in the field of big data research and its applications. This comprehensive book delves into the exploration and analysis of vast amounts of data from diverse sources to uncover hidden patterns, correlations, insights, and knowledge. Featuring the latest developments, research issues, and solutions, this book offers valuable insights into the world of big data. It provides a deep understanding of data mining techniques, data analytics, and their practical applications. Big Data Mining and Analytics has gained significant recognition and is indexed and abstracted in esteemed platforms such as ESCI, EI, Scopus, DBLP Computer Science, Google Scholar, INSPEC, CSCD, DOAJ, CNKI, and more. With its wealth of information and its ability to transform the way we perceive and utilize data, this book is a must-read for researchers, professionals, and anyone interested in the field of big data analytics.

《Big Data Mining and Analytics》是由清华大学出版社出版的出版物，期刊ISSN为2096-0654。该期刊介绍了大数据研究及其应用领域的开创性研究。这本内容全面的书深入探索和分析来自不同来源的大量数据，以揭示隐藏的模式、相关性、见解和知识。该书以最新发展、研究问题和解决方案为特色，提供了对大数据世界的宝贵见解，并深入解析数据挖掘技术、数据分析及其实际应用。大数据挖掘和分析已获得广泛认可，并被ESCI、EI、Scopus、DBLP Computer Science、Google Scholar、INSPEC、CSCD、DOAJ、CNKI等知名平台收录和摘要。