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sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large;
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for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.;
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architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link;
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architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link;
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transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings;
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needed to successfully leverage your data sets How to incorporate Big Data into a corporate culture Various public and private sources for data;
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learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and;
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demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle;
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demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle;
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Tools Algorithms for Big Data Big Data Management and Frameworks Big Data Search and Mining Methods Security and Privacy in the Era of Big;
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Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and;
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mining, supercomputing, hardware architecture, data visualization, statistics, and privacy. There is increasing need for new approaches and;
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in comparison to Java, and how Scala is related to Apache Spark for big data analytics. Next, you'll set up the Scala environment ready for examining;
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;
Vergelijkbare producten zoals Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical;
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the need for further advancements to information processing. Big Data Processing With Hadoop is an essential reference source that;
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This book constitutes refereed proceedings of the 4th International Workshop on Software Foundations for Data Interoperability, SFDI 2020;
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hosting platforms, such as HDFS, Hive, JSON, and S3 Employ the easy-to-use PySpark API to deploy big data Analytics for production Book;
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Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster;
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selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and;
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, computational methods for entity resolution, array-based computations in big data analysis, and pattern mining.;
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This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the;
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Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to;
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This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for;
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Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore;
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imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data;
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This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;
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