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for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering;
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, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;
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Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and;
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This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on;
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on Networked Learning Systems for Secured IoT Services and Its Applications (NLS4IoT)8th International Workshop on Context-Aware and IoT;
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers;
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contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers;
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Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and;
Vergelijkbare producten zoals Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding
necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research;
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in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve;
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BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as complex;
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process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and;
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of integrating big data-driven insights into transport planning and smart cities Presents practical advice on how to implement smart mobility;
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Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;
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present our latest findings on mining taxi GPS trajectory data to enable a number of smart urban services, and to bring us one step closer to the;
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present our latest findings on mining taxi GPS trajectory data to enable a number of smart urban services, and to bring us one step closer to the;
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data mining) are starting to be applied in education. The book examines the challenges being encountered and the potential of such efforts for;
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many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;
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The federal and private sector have a strong interest in the application of big data analytics to connected vehicles and smart cities. It;
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such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key;
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, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;
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derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative;
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a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the;
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various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which;
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various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which;
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This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;
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