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Recent Trends in Big Data: Challenges and Opportunities

Recent Trends in Big Data: Challenges and Opportunities
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Author(s): Kannadhasan Suriyan (Study World College of Engineering, India), Kanagaraj Venusamy (Rajalakshmi Engineering College, India)and R. Nagarajan (Gnanamani College of Technology, India)
Copyright: 2024
Pages: 13
Source title: Bio-Inspired Optimization Techniques in Blockchain Systems
Source Author(s)/Editor(s): U. Vignesh (Vellore Institute of Technology, Chennai, India), Manikandan M. (Manipal Institute of Technology, India)and Ruchi Doshi (Universidad Azteca, Mexico)
DOI: 10.4018/979-8-3693-1131-8.ch012


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Using big data and algorithmic techniques, not all of the data gathered in this way is relevant for analysis or decision-making. To be more specific, the chapter addresses issues that arise during the fine tuning of large data sets, presenting open research questions that can aid in the processing of large data sets and the extraction of valuable information from them, as well as providing an overview of big data tools and techniques that can be used to address these issues. Healthcare, public administration, retail, and other multidisciplinary scientific inquiries are only few of the areas where boundaries might be blurred. Big data is mostly derived from social computing, internet text and document storage, and internet search indexing. Online communities, recommendation systems, reputation systems, and prediction markets are all examples of social computing. Internet search indexing includes ISI, IEEE Xplorer, Scopus, Thomson Reuters, etc.

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