Stream data mining : algorithms and their probabilistic properties /
This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data strea...
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| Other Authors: | , |
| Format: | Book |
| Language: | English |
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Cham, Switzerland :
Springer,
[2020]
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| Series: | Studies in big data ;
v. 56 |
| Subjects: |
Internet
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