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A Multi-Scale Method for PM2.5 Forecasting with Multi-Source Big Data
In the age of big data, the Internet big data can finely reflect public attention to air pollution, which greatly impact ambient PM 2.5 ...
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Access Control for XML Big Data Applications
Big data has become a widespread concept in domains such as law enforcement, health care, e-commerce, and national defense. These and other big data...
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Machine Learning and Big Data Analytics 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for...
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Big Data and Sustainable Applications for Healthy and Safe Coastal Cities
A huge amount of data is generated by humans on a daily basis but as businesses transform as more digital data is larger, resulting to more complex...
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Scalable discrete algorithms for big data applications
In the past year, the project “Scalable Discrete Algorithms for Big Data Applications” dealt with High-Performance SAT Solving, Malleable Job...
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Examples of Big Data
BIG DATA comes in many flavors and dimensions. It may take the form of medical data on a patient where several characteristics are measured, or it...
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Big Theta Equals Small Theta Generically
In this paper we consider the theta correspondence over a non-Archimedean local field. Using the homological method and the theory of derivatives, we...
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Diabetic prediction and classification of risk level using ODDTADC method in big data analytics
Diabetes is regarded as one of the deadliest chronic illnesses that increases blood sugar. But there is no reliable method for predicting diabetic...
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Integration of Big Data and Internet of Things (IoT): Opportunities, Security and Challenges
IoT is upgrading and evolving due to its smart features and comfortless, whereas big data also helps storing and managing a huge amount of data...
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Recollements of Derived Categories from Two-Term Big Tilting Complexes
We introduce the notion of big tilting complexes over associative rings, which is a simultaneous generalization of good tilting modules and tilting...
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BIG DATA—BIG BROTHER (or, on the Ethical and Moral Aspects of Artificial Intelligence)
The main reason behind the impetuous development of ML in the last two decades is the availability of Big Data and the possibilities that efficient...
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Damaged Units Return Investigation in Printer-Producing Industry Utilizing Big Data
The manufacturing industry consists of highly streamlined processes and mechanisms to produce high-quality units. But accidentally, a small number of...
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Bayesian Quantile Regression for Big Data Analysis
Chu, Yuanqi Hu, Xue** Yu, KemingQuantile regression, which estimates various conditional quantiles of a response variable, including the median...
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Big Ramsey Spectra of Countable Chains
A big Ramsey spectrum of a countable chain (i.e. strict linear order) C is a sequence of big Ramsey degrees of finite chains computed in C . In this...
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Archetypal Curves in the Shape and Size Space: Discovering the Salient Features of Curved Big Data by Representative Extremes
Curves are complex data. Tools for visualizing, exploring, and discovering the structure of a data set of curves are valuable. In this paper, we...
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A Novel Data Representation Method for Smart Cities’ Big Data
In the past decades, the evolution of big cities was followed by the emergence of smart city technologies. These new technologies enable in-depth...
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Competitive Resource Allocation Among Urban Congestion Areas in a Modern Big City
The continuing growth of modern big cities leads to their spatial expansion and the emergence of new road connections and urban areas. Areas where...
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Big data – small school
Die Verbindung von Konzepten der elementaren linearen Algebra (small school) mit Computational Thinking ermöglicht realistische Einblicke in die...