Innovations in Big Data Mining and Embedded Knowledge

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic sph...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Esposito, Anna (Editör), Esposito, Antonietta M. (Editör), Jain, Lakhmi C. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Intelligent Systems Reference Library, 159
Konular:
Computational intelligence.
Data mining.
Big data.
Quantitative research.
Artificial intelligence.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Big Data.
Data Analysis and Big Data.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • Designing a Recommender System for Touristic Activities in a Big Data as a Service Platform
  • A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications
  • Towards Addressing the Limitations of Educational Policy based on International Large-scale Assessment Data with Castoriadean Magmas
  • What do Prospective Students Want? An Observational Study of Preferences About Subject of Study in Higher Education
  • Speech Pause Patterns in Collaborative Dialogs.

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