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

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

Paperback

General Computers

ISBN10: 3384267885
ISBN13: 9783384267887
Publisher: Tredition Gmbh
Published: Jun 21 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.

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