Proceedings ArticleDOI
Big data: A review
Seref Sagiroglu,Duygu Sinanc +1 more
- pp 42-47
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TLDR
This paper presents an overview of big data's content, scope, samples, methods, advantages and challenges, and discusses privacy concern on it.Abstract:
Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer and deeper insights and getting an advantage over the competition. For this reason, big data implementations need to be analyzed and executed as accurately as possible. This paper presents an overview of big data's content, scope, samples, methods, advantages and challenges and discusses privacy concern on it.read more
Citations
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Big data
Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Abdullah Gani,Salimah Binti Mokhtar,Ejaz Ahmed,Nor Badrul Anuar,Athanasios V. Vasilakos +6 more
TL;DR: This paper presents a comprehensive discussion on state-of-the-art big data technologies based on batch and stream data processing based on structuralism and functionalism paradigms and strengths and weaknesses of these technologies are analyzed.
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Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
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Big data analytics: a survey
Chun-Wei Tsai,Chin-Feng Lai,Han-Chieh Chao,Han-Chieh Chao,Han-Chieh Chao,Athanasios V. Vasilakos +5 more
TL;DR: The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data.
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Big Data: Survey, Technologies, Opportunities, and Challenges
Nawsher Khan,Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Zakira Inayat,Waleed Kamaleldin Mahmoud Ali,Muhammad Alam,Muhammad Shiraz,Abdullah Gani +7 more
TL;DR: This study comprehensively surveys and classifies the various attributes of Big data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security, and proposes a data life cycle that uses the technologies and terminologies of Big Data.
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References
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Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Paul Zikopoulos,Chris Eaton +1 more
TL;DR: This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.
Proceedings ArticleDOI
Big Data analytics
TL;DR: This analysis illustrates that the Big Data analytics is a fast-growing, influential practice and a key enabler for the social business and is critical for success in the age of social media.
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Data mining and knowledge discovery in databases
TL;DR: This article presents a comprehensive introduction and summary of the main basic concepts and bibliography in the area of Data Mining, nowadays and can be considered as a good starting point for newcomers in the field.