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Record Nr. |
UNINA9910254830703321 |
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Titolo |
Soft Computing in Data Science [[electronic resource] ] : Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings / / edited by Azlinah Mohamed, Michael W. Berry, Bee Wah Yap |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XV, 317 p. 123 illus.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0929 ; ; 788 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data mining |
Optical data processing |
Big data |
Algorithms |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Big Data |
Algorithm Analysis and Problem Complexity |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Deep learning and real-time classification -- Image feature classification and extraction -- Classification, clustering, visualization -- Applications of machine learning -- Data visualization -- Fuzzy logic -- Prediction models and e-learning -- Text and sentiment analytics. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017. The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on deep learning and real-time classification; image feature classification and |
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extraction; classification, clustering, visualization; applications of machine learning; data visualization; fuzzy logic; prediction models and e-learning; text and sentiment analytics. |
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