Unlocking the Power of Streaming Data: Online Learning for Diverse Applications

Erscheinungsjahr 2024
ISBN: 978-3-384-25594-5
Verlag: tredition

Buch, Englisch, 92 Seiten, Format (B × H): 155 mm x 234 mm, Gewicht: 171 g

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. Moreover, evolving or non-stationary data streams are susceptible to changes in the distribution of data, also known as concept drifts.

Zielgruppe

This book targets professionals interested in applying real-time data analysis. It's ideal for data scientists, analysts, developers, and researchers who want to leverage streaming data for various applications like fraud detection, recommendation systems, or financial modeling.

Autoren/Hrsg.

James

Über Autor(innen)

James
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