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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.

Data mining

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The conference covers all aspects of data mining, including algorithms, software, systems, and applications.

Data mining

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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.

Data mining.

Choose an application

• Reference Manager
• EndNote
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Data mining

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Data mining.