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Big Data Challenges
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Part 1 of ebook "Digital Darwinism: Branding and business models in Jeopardy" provides readers with contents including: why the digital revolution is challenging you and why you have to act now; digital darwinism and the social revolution; big data and technology; how the social revolution is to be managed;...
140p
giangmacvien
22-06-2024
1
1
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The term artificial intelligence (AI) is no longer a peculiar concept to many people, especially in the banking and finance industry, in which there are many activities involving technology and human intelligence. With the characteristics of big data, business in the monetary sector faces many risks, diverse customers, and extensive connections. Therefore, it is inevitably necessary to adopt AI in the banking system. AI potentially brings great abundance, reduces workload, and increases operational accuracy for banks.
6p
dathienlang1012
03-05-2024
1
0
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The exponential growth of bioinformatics in the healthcare domain has revolutionized our understanding of DNA, proteins, and other biomolecular entities. This remarkable progress has generated an overwhelming volume of data, necessitating big data technologies for efficient storage and indexing. While big data technologies like Hadoop offer substantial support for big XML file storage, the challenges of indexing data sizes and XPath query performance persist.
20p
dianmotminh02
03-05-2024
2
1
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This era of groundbreaking scientific developments in high-resolution, high-throughput technologies is allowing the cost-effective collection and analysis of huge, disparate datasets on individual health. Proper data mining and translation of the vast datasets into clinically actionable knowledge will require the application of clinical bioinformatics.
11p
vioraclene
31-03-2024
1
1
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Ebook Multimedia big data computing for Iot applications - Concepts, paradigms and solutions: Part 1
Part 1 book "Multimedia big data computing for Iot applications - Concepts, paradigms and solutions" includes content: Introduction to multimedia big data computing for IoT, energy conservation in multimedia big data computing and the internet of things - a challenge, an architecture for the real time data stream monitoring in IoT,... and other contents.
224p
muasambanhan06
01-02-2024
3
2
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Part 1 book "Animal welfare in a changing world" includes content: The paradoxical world of the dog; animal experience of domestication; better to have lived and lost – the concept of a life worth living; if fishes feel pain, what should we do; anthropomorphism - faulty thinking or useful tool; speciesism; longevity and brevity – is death a welfare issue; promises and challenges of big data associated with automated dairy cow welfare assessment; animal welfare - information in a changing world; licensed to harm; animal watching in tourism,... and other contents.
162p
muasambanhan03
05-01-2024
9
2
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Continued part 1, part 2 of ebook "The internet supply chain: Impact on accounting and logistics" provides readers with contents including: the changing responsibilities of senior management in a modern firm; one of the big challenges with electronic commerce; getting our company ready for shifts in market power; the real revolution in computers and communications is in logistics; operational risk with supply chain: privacy and security;...
150p
mocthanhdao0210
19-11-2023
10
2
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Ebook "Networking for big data chapman" includes content: Orchestrating science DMZs for big data acceleration - challenges and approaches; a survey of virtual machine placement in cloud computing for big data; big data management challenges, approaches, tools, and their limitations,...and other contents.
416p
haojiubujain07
20-09-2023
5
3
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Big data processing is attracting the interest of many researchers to process large-scale datasets and extract useful information for supporting and providing decisions. One of the biggest challenges is the problem of querying large datasets. It becomes even more complicated with similarity queries instead of exact match queries.
24p
vimulcahy
18-09-2023
8
3
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Reversible data hiding techniques for JPEG images have big challenges in order to improve the capacity, quality, and flexible embedding method. In this article, we propose a new crossdomain using combination of multiple quantization tables in JPEG algorithm.
13p
viengels
25-08-2023
14
4
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In this twelfth edition, we added some new features and reorganized some coverage to provide a better flow of material. Aside from enhancing the already strong coverage of database design, we made other improvements in the topical coverage. In particular, the continued growth of Big Data and NoSQL technologies have challenged the status quo in the database industry. Therefore, we created an entire new chapter, Big Data Analytics and NoSQL, to help students grasp the key aspects of these complex new technologies and challenges.
818p
haojiubujain01
06-06-2023
5
3
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Clinical research data warehouses (RDWs) linked to genomic pipelines and open data archives are being created to support innovative, complex data-driven discoveries. The computing and storage needs of these research environments may quickly exceed the capacity of on-premises systems.
9p
vighostrider
25-05-2023
5
2
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Big Data has become a tool to help accountants practice their careers with a more effective approach than the traditional tools. It has also created challenges for accountants with data asset valuation. This study also points out that accounting and auditing students should have big data knowledge and data analytic skills. Hence Big Data topics should be embedded in existing courses across accounting curricula and Vietnamese universities need to change their educational programs in order to adapt the employers’ demand.
9p
huyetthienthan
23-11-2021
9
0
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The Fourth Industrial Revolution (4IR), which is characterized by artificial intelligence, Internet of thing and big data, is impacting all economies and industries in every nation both in extensiveness and depth, and signals the transformation of the entire management system. Hospitality industry is not outside of this circle of influence.
4p
viwinter2711
05-10-2021
13
1
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Information is producing from various assets in a quick fashion. In request to know how much information is advancing we require predictive analytics. When the information is semi organized or unstructured the ordinary business insight calculations or instruments are not useful. In this paper, we have attempted to call attention to the difficulties when we utilize business knowledge devices.
7p
phanngocminhtam
14-09-2021
7
1
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In this paper, we propose a novel big data watermarking technique that leverages the power of blockchain technology and provides a transparent immutable audit trail for data movement in big data monetizing scenarios. In this context, we address all the crucial challenges mentioned above. We present a prototype implementation of the system as a proof of concept using Solidity on Ethereum platform, and we perform experimental evaluation to demonstrate its feasibility and effectiveness in terms of execution gas costs.
28p
trinhthamhodang11
04-05-2021
23
5
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In this study, we draw a big picture of personalized medicine research in cancer research of the –omics data era, including –omics databases, challenges of data fusion to solve two major problems in personalized medicine, i.e., personalized diagnosis and treatment. These problems are approached as patient stratification and drug response prediction based on the –omics data by computational methods.
8p
nguaconbaynhay11
16-04-2021
13
2
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Understanding the working mechanism of the brain is one of the grandest challenges for modern science. Toward this end, the BigNeuron project was launched to gather a worldwide community to establish a big data resource and a set of the state-of-the-art of single neuron reconstruction algorithms.
13p
vioklahoma2711
19-11-2020
10
1
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Classification of biological samples of gene expression data is a basic building block in solving several problems in the field of bioinformatics like cancer and other disease diagnosis and making a proper treatment plan. One big challenge in sample classification is handling large dimensional and redundant gene expression data.
13p
viconnecticut2711
29-10-2020
37
1
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The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data analyses. Metabolomics datasets often contain outliers because of analytical, experimental, and biological ambiguity, but the currently available differential metabolite identification techniques are sensitive to outliers.
11p
viconnecticut2711
28-10-2020
16
0
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