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It serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving cloud computing & big data analytics related techniques And the conference program will feature plenary sessions, technical and paper presentations Distinguished speaker will be invited to deliver keynote speeches and invited talks on emerging technologies in cloud computing & big data analytics Interested parties without papers are also invited to participate as attendees at the conference You are invited to participate in this great event for sharing ideas, friendship and culture in the long history and hospitality city Chengdu.
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Big data and smart computing are emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines Big data analytics and practices seeks to include work from a wide range of technologies and domains ? including (but not limited to) smart systems (e g in cities, automobiles, farms, etc ), cyber physical systems, Internet of Things applications, healthcare, and social networks and media Technological aspects of the event include service oriented technologies, machine learning, predictive analytics, data modelling, system architectures, data mining, and simulation.
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The conference covers all aspects of data mining, including algorithms, software, systems, and applications.
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The conference covers all aspects of data mining, including algorithms, software, systems, and applications.
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Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment.
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"As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available." -- Publisher's description.
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