Learning from Data Streams in Evolving Environments: Methods and Applications
Sayed-Mouchaweh, Moamar, editor
(Springer Cham, 2019)
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| This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field.-Provides multiple examples to facilitate the understanding data streams in non-stationary environments;-Presents several application cases to show how the methods solve different real world problems;-Discusses the links between methods to help stimulate new research and application directions. |
 Learning from Data Streams in Evolving Environments.pdf :: Unduh
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| No. Panggil : | e20502053 |
| Entri tambahan-Nama orang : | |
| Subjek : | |
| Penerbitan : | Switzerland: Springer Cham, 2019 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | viii, 317 pages : illustration |
| Tautan: | |
| Lembaga Pemilik: | |
| Lokasi: |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20502053 | 20-23-74300171 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 9999920520978 |
