Esposito A., Esposito A.M., Jain L.C. (Eds.) Innovations in Big Data Mining and Embedded Knowledge

Springer, 2019. — 286 p. — (Intelligent Systems Reference Library 159). — ISBN: 978-3-030-15938-2.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 spheres, and ICT markets.More Than Data Mining
Designing a Recommender System for Touristic Activities in a Big Data as a Service Platform
EML: 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
Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and in Medical Process Mining
A Paradigm for Democratizing Artificial Intelligence Research
Big Data and Multimodal Communication: A Perspective View
A Web Application for Characterizing Spontaneous Emotions Using Long EEG Recording Sessions
Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions
Humans Inside: Cooperative Big Multimedia Data Mining
Conversational Agents and Negative Lessons from Behaviourism