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Sustainability, 2022 Big data (BD) analytics has been increasingly gaining attraction in both practice and theory in light of its opportunities, barriers and expected benefits.
Abdalwali Lutfi +7 more
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The Emergence of Big Data Policing [PDF]
, 2017 The past decade has seen both the proliferation of surveillance in everyday life and the rise of “big data.” Through extensive qualitative research focusing on the Los Angeles Police Department (LAPD), PRC faculty research associate Sarah Brayne explores
Brayne, Sarah
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Sustainability, 2023 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
Big Data Assurance Evaluation: An SLA-Based Approach. [PDF]
, 2018 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
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Crisis Analytics: Big Data Driven Crisis Response [PDF]
, 2016 Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point.
Ali, Anwaar +5 more
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Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015 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
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Deep learning applications and challenges in big data analytics
Journal of Big Data, 2015 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
Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
International Journal of Molecular Sciences, 2022 Big data in health care is a fast-growing field and a new paradigm that is transforming case-based studies to large-scale, data-driven research. As big data is dependent on the advancement of new data standards, technology, and relevant research, the ...
Mubashir Hassan +8 more
semanticscholar +1 more source
BMC Medicine, 2023 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
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Multimedia big data computing for in-depth event analysis [PDF]
, 2015 While the most part of ”big data” systems target text-based analytics, multimedia data, which makes up about 2/3 of internet traffic, provide unprecedented opportunities for understanding and responding to real world situations and challenges ...
Ayguadé Parra, Eduard +2 more
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