Japkowicz N., Stefanowski J. Big Data Analysis: New Algorithms for a New Society

Springer, 2016. — 333 p. — Studies in Big Data 16 — ISBN: 9783319269870This 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 limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.Nathalie Japkowicz and Jerzy Stefanowski
A Machine Learning Perspective on Big Data Analysis
Ross Sparks, Adrien Ickowicz and Hans J. Lenz
An Insight on Big Data Analytics
Andrzej Skowron, Andrzej Jankowski and Soma Dutta
Toward Problem Solving Support Based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgement
Indrė Žliobaitė, Mykola Pechenizkiy and João Gama
An Overview of Concept Drift Applications
Jan Kralj, Anita Valmarska, Miha Grčar, Marko Robnik-Šikonja and Nada Lavrač
Analysis of Text-Enriched Heterogeneous Information Networks
Françoise Fogelman-Soulié and Wenhuan Lu
Implementing Big Data Analytics Projects in Business
Eric Paquet, Herna Viktor and Hongyu Guo
Data Mining in Finance: Current Advances and Future Challenges
Andrew Rau-Chaplin, Zhimin Yao and Norbert Zeh
Industrial-Scale Ad Hoc Risk Analytics Using MapReduce
Mohak Shah
Big Data and the Internet of Things
Rui Sarmento, Márcia Oliveira, Mário Cordeiro, Shazia Tabassum and João Gama
Social Network Analysis in Streaming Call Graphs
Monika Szczerba, Marek S. Wiewiórka, Michał J. Okoniewski and Henryk Rybiński
Scalable Cloud-Based Data Analysis Software Systems for Big Data from Next Generation Sequencing
Michał Dramiński, Michał J. Da̧browski, Klev Diamanti, Jacek Koronacki and Jan Komorowski
Discovering Networks of Interdependent Features in High-Dimensional Problems
Jerzy Stefanowski and Nathalie Japkowicz
Final Remarks on Big Data Analysis and Its Impact on Society and Science