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Big data analytics:Computational intelligence techniques and application areas [PDF]
Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization ...
Doctor, Faiyaz +4 more
core +2 more sources
As the scale and dimensionality of data continue to grow in many applications of data analytics (e.g., bioinformatics, finance, computer vision, medical informatics), it becomes critical to develop efficient and effective algorithms to solve numerous machine learning and data mining problems. This tutorial will focus on simple yet practically effective
Tianbao Yang, Qihang Lin, Rong Jin
+4 more sources
The importance of big data analytics, artificial intelligence, and machine learning has been at the forefront of research for operations and supply chain management.
Rameshwar Dubey +7 more
semanticscholar +1 more source
Big Data Analytics Capabilities (BDAC) represent critical tools for business competitiveness in highly dynamic markets. In this connection, by leveraging on the Dynamic Capabilities View (DCV) this study analyses the relationship between BDAC and ...
Francesco Ciampi +4 more
semanticscholar +1 more source
Big data analytics (BDA) is a revolutionary approach for sound decision-making in organizations that can lead to remarkable changes in transforming and supporting the circular economy (CE).
Usama Awan +5 more
semanticscholar +1 more source
Big Data Assurance Evaluation: An SLA-Based Approach. [PDF]
The Big Data community has started noticing that there is the need to complete Big Data platforms with assurance techniques proving the correct behavior of Big Data analytics and management.
Ardagna, C. A. +4 more
core +1 more source
Background Aging is a dynamic and heterogeneous process that may better be captured by trajectories of aging biomarkers. Biological age has been advocated as a better biomarker of aging than chronological age, and plant-based dietary patterns have been ...
Sicong Wang +11 more
doaj +1 more source
Deep learning applications and challenges in big data analytics
Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information
M. M. Najafabadi +5 more
semanticscholar +1 more source
Scholars and practitioners have paid attention to the critical role of big data analytics driven by AI in enhancing business performance. However, firms investing in big data analytics often fail to achieve those advantages.
Omar. A. Alghamdi, G. Agag
semanticscholar +1 more source
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing urgent healthcare facilities to the citizens across the globe.
Wei Li +7 more
semanticscholar +1 more source

