Big Data Analysis: New Algorithms for a New Society

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
Corporate Author: SpringerLink (Online service)
Other Authors: Japkowicz, Nathalie (Editor), Stefanowski, Jerzy (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Series:Studies in Big Data, 16
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.