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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

A Machine Learning Perspective on Big Data Analysis

verfasst von : Nathalie Japkowicz, Jerzy Stefanowski

Erschienen in: Big Data Analysis: New Algorithms for a New Society

Verlag: Springer International Publishing

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Abstract

This chapter surveys the field of Big Data analysis from a machine learning perspective. In particular, it contrasts Big Data analysis with data mining, which is based on machine learning, reviews its achievements and discusses its impact on science and society. The chapter concludes with a summary of the book’s contributing chapters divided into problem-centric and domain-centric essays.

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Nächstes Kapitel An Insight on Big Data Analytics
Fußnoten
1
While this application was originally considered a success, it subsequently obtained disappointing results and is now in the process of getting improved [4].
 
2
Please note that graphs were sometimes considered in traditional data mining (e.g., as structures of chemical compounds), but the graphs in question were of much smaller size than those considered today.
 
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Metadaten
Titel
A Machine Learning Perspective on Big Data Analysis
verfasst von
Nathalie Japkowicz
Jerzy Stefanowski
Copyright-Jahr
2016
Buch
Big Data Analysis: New Algorithms for a New Society

Print ISBN: 978-3-319-26987-0

Electronic ISBN: 978-3-319-26989-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-26989-4_1

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