دانلود کتاب علوم داده و تحلیل کلان داده – مقدمه‌ای بر IDBA 2024

The pervasive nature of digital technologies as witnessed in industry, service, and everyday life has given rise to an emergent, data-focused economy stemming from many aspects of human individual and commercial activity. The richness and vastness of these data are creating unprecedented research opportunities in some fields including urban studies, geography, economics, finance, and social science, as well as physics, biology and genetics, public health, and many others. In addition to big data-inspired research, businesses have seized on big data technologies to support and propel growing business intelligence needs. As businesses build out big data hardware and software infrastructure, it becomes increasingly important to anticipate technical and practical challenges and to identify best practices learned through experience. Big data analytics employ software tools from advanced analytics disciplines such as data mining, predictive analytics, and machine learning. At the same time, the processing and analysis of big data present methodological and technological challenges. The goal of this lecture series and conference is to present both novel solutions to challenging technical issues and compelling big data use cases. This special issue contains many papers that provide deep research results to report the advances in big data analytics, infrastructure, and applications. The goal of this special issue is to crystallize the emerging big data technologies and efforts to focus on the most promising solutions in the industry. The papers provide clear proof that big data technologies are playing a more and more important and critical role in supporting various applications in the industry. It is also believed that the papers will further research openings in new best practices and directions in this emerging research discipline.