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A systematic data characteristic understanding framework towards physical-sensor big data challenges
Big data present new opportunities for modern society while posing challenges for data scientists. Recent advancements in sensor networks and the...
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Redundancy elimination in IoT oriented big data: a survey, schemes, open challenges and future applications
The Internet of Things (IoT), an enlarged Internet-based network, is a key element of the next information technology revolution. With the evolution...
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Big health data for elderly employees job performance of SOEs: visionary and enticing challenges
The method is providing and overview of the organization in the management perspective, within the health big data analysis, especially for the...
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Big Data
This chapter introduces the fundamental concepts of big data, offering a comprehensive understanding of its definition, key characteristics, and the...
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A Solution to Query Processing Challenges Through Smart Query Processor for Big Data Analytics
Data generation and collection is a continuous process throughout the world. It is going to be difficult to handle various challenges that arise...
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Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
The study of big data analytics (BDA) methods for the data-driven industries is gaining research attention and implementation in today’s industrial...
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15 years of Big Data: a systematic literature review
Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence and Machine Learning world. Therefore, a lot of...
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Big-IDS: a decentralized multi agent reinforcement learning approach for distributed intrusion detection in big data networks
The growing complexity of security threats and the pervasive prevalence of cyberattacks have become more apparent in the present era, and the advent...
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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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Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions
The present study discusses big data (BD) and Internet of Things (IoT)-based applications in intelligent ecosystems. The purpose of these areas is to...
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Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Differences in data size per class, also known as imbalanced data distribution, have become a common problem affecting data quality. Big Data...
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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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Control Systems: Intellectualization As a Response to Challenges of the Big Data Era
Abstract —This article analyzes the problem of processing massive amounts of data under strict time constraints in control systems. One strategy for...
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Big data dimensionality reduction techniques in IoT: review, applications and open research challenges
In the age of big data, all forms of data with increasing samples and high-dimensional characteristics are demonstrating their importance in a...
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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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Quality assurance awareness in higher education in China: big data challenges
The quality assurance of higher education in China is an issue of vital international interest. To improve the international reputation of the...
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A data lake-based security transmission and storage scheme for streaming big data
Streaming big data presents unique security challenges due to its real-time generation and distributed transmission methods, making it vulnerable to...
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A key review on security and privacy of big data: issues, challenges, and future research directions
Big data collection means collecting large volumes of data to have insight into better business decisions and greater customer satisfaction. Securing...
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Empowering smart city situational awareness via big mobile data
Smart city situational awareness has recently emerged as a hot topic in research societies, industries, and governments because of its potential to...
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AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating...
