From Sensor Networks to Customer Clicks: How Online Learning Makes Sense of Real-Time Data (Paperback) (ISBN-13: 9783384267887)

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.

Author: Sartre
ISBN-10: 3384267885
ISBN-13: 9783384267887
Publisher: Tredition Gmbh
Language: English
Published: 06/21/2024
Pages: 92
Format: Paperback
Weight: 0.32lbs
Size: 9.00h x 6.00w x 0.22d