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Beschreibung
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.
Details
| Verlag | tredition |
| Ersterscheinung | 21. Juni 2024 |
| Maße | 23.4 cm x 15.5 cm |
| Gewicht | 168 Gramm |
| Format | Softcover |
| ISBN-13 | 9783384267887 |
| Seiten | 92 |
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