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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Esposito, Anna (Editor), Esposito, Antonietta M. (Editor), Jain, Lakhmi C. (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Intelligent Systems Reference Library, 159
Subjects:
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 Access:Full-text access
Table of Contents:
  • 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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