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Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey

open access: yesApplied Sciences (Switzerland), 2021
The era of big textual corpora and machine learning technologies have paved the way for researchers in numerous data mining fields. Among them, causality mining (CM) from textual data has become a significant area of concern and has more attention from ...
Rahman Ali, Wanli Zuo
exaly   +3 more sources

Toward a Multi-Column Knowledge-Oriented Neural Network for Web Corpus Causality Mining

open access: yesApplied Sciences (Switzerland), 2023
In the digital age, many sources of textual content are devoted to studying and expressing many sorts of relationships, including employer–employee, if–then, part–whole, product–producer, and cause–effect relations/causality.
Rahman Ali, Wanli Zuo
exaly   +3 more sources

Causality extraction: A comprehensive survey and new perspective

open access: yesJournal of King Saud University - Computer and Information Sciences, 2023
Researchers in natural language processing are paying more attention to causality mining. Numerous applications of the growing need for efficient and accurate causality mining include question answering, future events predication, discourse comprehension,
Rahman Ali, Wanli Zuo, Inam Ullah
exaly   +3 more sources

Examining Relationships between Regional Ecological Risk and Land Use Using the Granger Causality Test Applied to a Mining City, Daye, China

open access: yesLand, 2023
Land use changes are an important factor contributing to the increasingly severe deterioration of the ecological environment. Therefore, regional analyses of land use and ecological risk should be developed for the restoration of ecological functions. In
Renbo Luo, Qiu Tianqi, Xuanwei Chen
exaly   +3 more sources

An Attention-Based Deep Convolution Network for Mining Airport Delay Propagation Causality

open access: yesApplied Sciences (Switzerland), 2022
The airport network is a highly dynamic and complex network connected by air routes, and it is difficult to study the impact of delays at one airport on another airport by means of human intervention.
Weili Zeng, Zeng Weili, Wang Huawei
exaly   +3 more sources

Cause-and-effect relationships in a nonlinear model of Bitcoin's energy use and price volatility effect. [PDF]

open access: yesPLoS ONE
The environmental impact of Bitcoin (BTC) has been a source of concern due to its substantial energy consumption, which is a result of its proof-of-work mining algorithm and transaction processes.
Georgia Zournatzidou
doaj   +2 more sources

GGC: Gray-granger causality method for sensor correlation network structure mining on high-speed train

open access: yesTsinghua Science and Technology, 2022
Vehicle information on high-speed trains can not only determine whether the various parts of the train are working normally, but also predict the train’s future operating status. How to obtain valuable information from massive vehicle data is a difficult
Honghui Dong, Yong Qin, Jie Man
exaly   +3 more sources

Coal mining as a risk factor for tuberculosis – Commodity or circumstance? [PDF]

open access: yesSouthern African Journal of Infectious Diseases
The association of tuberculosis (TB) with the mining industry is well known in South Africa. This may well be true for gold mining and silica exposure.
Nevadna Singh, Elvis M. Irusen
doaj   +2 more sources

A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

open access: yesApplied Sciences (Switzerland), 2020
With the development of cloud computing technology, the microservice architecture (MSA) has become a prevailing application architecture in cloud-native applications.
Juan Qiu, Du Qingfeng
exaly   +3 more sources

Mining text for causality: a new perspective on food safety crisis management

open access: yesFrontiers in Sustainable Food Systems
The aim of the present study was to quantitatively analyze the importance of each risk factor in a food safety event, so as to fully elucidate the correlation between different risk factors and provide a reference for food safety governance.
Jiayin Pei
exaly   +3 more sources

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