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

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

Paperback

General Education

ISBN10: 3384255941
ISBN13: 9783384255945
Publisher: Tredition Gmbh
Published: Jun 10 2024
Pages: 92
Weight: 0.32
Height: 0.22 Width: 6.00 Depth: 9.00
Language: English
Data streams are defined as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly infinite 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.

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