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2014 | OriginalPaper | Buchkapitel

Big Data: Opportunities, Challenges and Solutions

verfasst von : Vladimir Gorodetsky

Erschienen in: Information and Communication Technologies in Education, Research, and Industrial Applications

Verlag: Springer International Publishing

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Abstract

The problems related to the phenomenon of Big Data are currently among the top 10 hottest topics of information and communication technology. Big Data phenomenon refers to the data explosion observed today. At present, the term is widely used in different communities of many application domains, including researchers and practitioners. Big Data analysis can provide for many new opportunities in many respects motivating and stimulating industrial and commercial take-up of novel emerging technologies. The in-depth analysis of Big Data processing and analytics publications shows that the most of them write about “new opportunities” and “new challenges”. However, very few papers present the solutions for predictive analytics that go beyond the limits of OLAP-like processing models and technologies. The goal of this paper is to outline in more detail not only the nature of opportunities and particular challenges but also some original solutions to attack them.

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Nächstes Kapitel Collecting University Rankings for Comparison Using Web Extraction and Entity Linking Techniques
Fußnoten
1
Hereinafter Big Data refers to the corresponding problem domain whereas big data refers to big data samples.
 
2
This application is used only to explain the essence of the big data analysis tasks arisen in social networks.
 
3
Unfortunately, there are many industrial practitioners who still trust that unlimited computing resources are capable to cope with any big data-related problem.
 
4
See [6] for impressive graphical illustrations of the error accumulation and the spurious correlation effects.
 
5
At this step, the testing procedure has to be applied only for data subset assigned label \( \bar{\omega }_{k} \).
 
6
Practically, causal analysis based on Bayesian network model can be used for data dimensionalities of no more than 20.
 
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Metadaten
Titel
Big Data: Opportunities, Challenges and Solutions
verfasst von
Vladimir Gorodetsky
Copyright-Jahr
2014
Buch
Information and Communication Technologies in Education, Research, and Industrial Applications

Print ISBN: 978-3-319-13205-1

Electronic ISBN: 978-3-319-13206-8

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-13206-8_1