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distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing;
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genomic data management, medical data cloud federations, temporal pattern mining, scalable schema discovery, load shedding, and selectivity;
Vergelijkbare producten zoals Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI
mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before;
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This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held;
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Probably the best-studied stream on earth. The result of unmatched long-term data taken by the Max-Planck outstation in Schlitz from the;
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underfrequency load-shedding schemes. The chapters explore both conventional and advanced load-shedding schemes and consider the improvement of these;
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efficient underfrequency load-shedding schemes. The chapters explore both conventional and advanced load-shedding schemes and consider the;
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Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream;
Vergelijkbare producten zoals Mastering Kafka Streams and ksqlDB Building realtime data systems by example
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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Seeking to make a fresh start and establish himself as a trader, Blood heads for Indian Stream, a wild, ungoverned territory in northern;
Vergelijkbare producten zoals Lost Nation
This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated;
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sources, store them in a unified log, and build data processing applications on the resulting event streams. As readers progress through the;
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This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept;
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operation considerations such as safety, quality of service, load shedding, brownouts, demand controls and more. New material in the third edition;
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the load through high frequency transformers to improve the current gain. Inclusion of transformers and RL load leads to higher frequency;
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data sheets for in-field research for students; and taxanomic keys to common stream invertebrates and algae. With a student-friendly;
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Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were;
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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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volume and stream bit depth of converted data, which makes them the most popular in modern real-time IT systems. In particular, we analyze the;
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This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on;
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, transform, and load (ETL) solutions to support a business application that integrates with a data warehouse and an online Web store across a;
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This text integrates a wide range of research and tidal resource theory and data to present a detailed analysis of the physics and;
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AWS Glue is a fully managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data;
Vergelijkbare producten zoals AWS Glue Developer Guide
Using the load-pull method for RF and microwave power amplifier design This new book on RF power amplifier design, by industry expert;
Vergelijkbare producten zoals The Loadpull Method of RF and Microwave Power Amplifier Design
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