This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a l...

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Bibliographic Details

Other Authors:	Stefanowski, Jerzy (Editor), Japkowicz, Nathalie (Editor)
Format:	Book
Language:	English
Published:	Cham : Springer, ©2016.
Series:	Studies in Big Data 16
Subjects:	Big data Agentes inteligentes (Software para computadores)
Notas Contenido:	A Machine Learning Perspective on Big Data Analysis An Insight on Big Data Analytics Toward Problem Solving Support based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgment An overview of Conceptdrift Applications.- Analysis of Text-Enriched Heterogeneous Information Networks.- Implementing Big Data Analytics Projects in Business Data mining in Business: Current Advances and Future Challenges Industrial-Scale Ad Hoc Risk Analytics Using MapReduce Big Data and the Internet of Things Social Network Analysis in Streaming Call Graphs.- Scalable Cloud-Based Data Analysis Software Systems for Big Data From Next Generation Sequencing Discovering Networks of Interdependent Features in High-Dimensional Problems Final Remarks on Big Data Analysis and its Impact on Society and Science