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Big data and predictive analytics: A systematic review of applications
Big data involves processing vast amounts of data using advanced techniques. Its potential is harnessed for predictive analytics, a sophisticated...
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Big Data Analytics
This chapter introduces the dynamic domain of big data analytics, illuminating its multifaceted aspects and profound significance. It commences by...
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Big Data Analytics Theory, Techniques, Platforms, and Applications
This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud...
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Big Data Analytics Platforms
This chapter explores big data analytics platforms by shedding light on their essential characteristics for processing and deciphering vast datasets.
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Debugging Big Data Systems for Big Data Analytics
This chapter unveils the intricate art of debugging big data systems for optimal analytics performance, providing a comprehensive guide to navigating...
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Big Data Analytics in Bioinformatics
This chapter introduces the intricate interplay between big data analytics and bioinformatics, providing a comprehensive perspective on leveraging...
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Quality assurance strategies for machine learning applications in big data analytics: an overview
Machine learning (ML) models have gained significant attention in a variety of applications, from computer vision to natural language processing, and...
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An intelligent sentiment prediction approach in social networks based on batch and streaming big data analytics using deep learning
In recent years, cloud computing applications have facilitated the distribution of heterogeneous, unstructured digitized data among users’ social...
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Digital social innovation based on Big Data Analytics for health and well-being of society
BackgroundAny nation's health policy aims to properly care for its citizens and the society's quality of life. Since in the healthcare system, the...
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Big Data Analytics for Big Medical Data—Tools Applications and Challenges
The Internet has transformed the computer and communications world, which brings loads of information to our fingertips, resulting in the rise of big...
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Meta-heuristic endured deep learning model for big data classification: image analytics
Image processing is currently developing as a unique and the inventive field in computer research and applications in the modern area. Most image...
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Leveraging big data analytics for intelligent transportation systems: optimize the internet of vehicles data structure and modeling
An intelligent transportation system is an efficient and modern digital approach to access real-time information for drivers, which is pertinent for...
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Big Data Analytics in Smart Grids
In this chapter, the exploration explores applying big data analytics within the smart grid domain. The journey commences with a comprehensive...
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Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study
This study examines the implementation of a Big Data Analytics (BDA) project within a major Australian freight and railway organisation. It also...
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Data analytics for crop management: a big data view
Recent advances in Information and Communication Technologies have a significant impact on all sectors of the economy worldwide. Digital Agriculture...
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A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis
In today’s digital world, information is growing along with the expansion of Internet usage worldwide. As a consequence, bulk of data is generated...
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Performance of the K-means and fuzzy C-means algorithms in big data analytics
Nowadays, cloud computing is used by most organizations to utilize cloud resources and services in dealing with big data. Besides, machine learning...
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Big data analytics in Cloud computing: an overview
Big Data and Cloud Computing as two mainstream technologies, are at the center of concern in the IT field. Every day a huge amount of data is...
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Enhancing big data analytics deployment: uncovering stakeholder dynamics and balancing salience in project roles
Deployment constitutes a pivotal aspect of data science projects, such as big data analytics (BDA). A comprehensive definition of successful...
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A decade of research into the application of big data and analytics in higher education: A systematic review of the literature
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable...
