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2012 International Conference on Communication, Information & Computing Technology (ICCICT), 2012 In this paper, we explain the concept, characteristics & need of Big Data & different offerings available in the market to explore unstructured large data. This paper covers Big Data adoption trends, entry & exit criteria for the vendor and product selection, best practices, customer success story, benefits of Big Data analytics, summary and conclusion.
Sachchidanand Singh, Nirmala Singh
semanticscholar +3 more sources
Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research [PDF]
Annals of Operations Research, 2022 Sustainable finance is a rich field of research. Yet, existing reviews remain limited due to the piecemeal insights offered through a sub-set rather than the entire corpus of sustainable finance.
Satish Kumar +4 more
openalex +2 more sources
HMD Praxis der Wirtschaftsinformatik, 2019 Due to an increase in the number of digital transactions and data sources, a huge amount of unstructured data is generated by every interaction. In such a scenario, the concepts of data mining assume great significance as useful information/trends/predictions can be retrieved from this large amount of data, known as big data.
Pratiyush Guleria, Manu Sood
+9 more sources
Enabling real time big data solutions for manufacturing at scale
Journal of Big Data, 2022 Today we create and collect more data than we have in the past. All this data comes from different sources, including social media platforms, our phones and computers, healthcare gadgets and wearable technology, scientific instruments, financial ...
Altan Cakir +3 more
doaj +1 more source
Deep Learning-Based Log Parsing for Monitoring Industrial ICT Systems
Applied Sciences, 2023 For rapidly developing smart manufacturing, Industrial ICT Systems (IICTSs) have become critical to safe and reliable production, and effective monitoring of complex IICTSs in practice is necessary but challenging.
Yuqian Yang, Bo Wang, Cong Zhao
doaj +1 more source
Quantum-aided secure deep neural network inference on real quantum computers
Scientific Reports, 2023 Deep neural networks (DNNs) are phenomenally successful machine learning methods broadly applied to many different disciplines. However, as complex two-party computations, DNN inference using classical cryptographic methods cannot achieve unconditional ...
Hanqiao Yu +4 more
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Applied Sciences, 2021 As the e-commerce market grows worldwide, personalized recommendation services have become essential to users’ personalized items or services. They can decrease the cost of user information exploration and have a positive impact on corporate sales growth.
Qinglong Li +3 more
doaj +1 more source
A CNN-Based Advertisement Recommendation through Real-Time User Face Recognition
Applied Sciences, 2021 The advertising market’s use of smartphones and kiosks for non-face-to-face ordering is growing. An advertising video recommender system is needed that continuously shows advertising videos that match a user’s taste and displays other advertising videos ...
Gihwi Kim +3 more
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The use of Big Data Analytics in healthcare
Journal of Big Data, 2022 The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare.
Kornelia M. Batko, A. Ślęzak
semanticscholar +1 more source
IEEE Access, 2021 Differentially private stochastic gradient descent (DP-SGD) that perturbs the clipped gradients is a popular approach for private machine learning. Gaussian mechanism GM, combined with the moments accountant (MA), has demonstrated a much better privacy ...
Yanan Li +3 more
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