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From Sensor Networks to Customer Clicks: How Online Learning Makes Sense of Real-Time Data

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40,30 
2025-07-31 40.3000 InStock
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Knygos aprašymas

Data streams are de¿ned as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly in¿nite and temporarily ordered [7, 22]. Instances in data streams arrive fast, either in batches of data, or instance-by-instance; each instance needs to be processed in a timely manner. Due to these characteristics, such as large amount of data and time constraints, tra-ditional static machine learning algorithms are unsuitable for direct use [7]. That is, techniques learning from data streams need to maintain their performance throughout the stream while limiting memory and processing time.

Informacija

Autorius: Sartre
Leidėjas: tredition
Išleidimo metai: 2024
Knygos puslapių skaičius: 92
ISBN-10: 3384267885
ISBN-13: 9783384267887
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Database design and theory

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