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Exploring how to extract knowledge structures from evolving and time-changingdata, "Knowledge Discovery from Data Streams" presents a;
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any online entitlements included with the product. Master Oracle Streams 11g ReplicationEnable real-time information access and data;
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Get an easy introduction to reactive streams in Java to handle concurrency, data streams, and the propagation of change in today's;
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Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly;
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Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly;
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This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by;
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Kafka Streams is a library designed to allow for easy stream processing of data flowing into a Kafka cluster. Stream processing has;
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Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream;
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All of Java's Input/Output (I/O) facilities are based on streams, which provide simple ways to read and write data of different types. Java;
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Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive;
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Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive;
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Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest;
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Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are;
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This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT;
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Data stream algorithms as an active research agenda emerged only over the past few years, even though the concept of making few passes;
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Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents;
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Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden;
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in data-rich environments. The book begins with an architectural overview, illustrating how ULP addresses the thorny issues associated with;
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Multimedia information systems are quite different from traditional information systems, especially in data types, modeling, delivery, and;
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statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier;
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Conference on Web-Age Information Management, WAIM 2007, held in Huang Shan, China, June 2007. Coverage includes data mining and knowledge discovery;
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developments in the analysis of complex and massive data sources, such as blogs, event or log data, medical data, spatio-temporal data, social networks;
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This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India;
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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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This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;
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This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;
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