Antongiacomo Polimeno,Paolo Mignone,Chiara Braghin et al.
Antongiacomo Polimeno et al.
Existing data engine implementations do not properly manage the conflict between the need of protecting and sharing data, which is hampering the spread of big data applications and limiting their impact. These two requirements have often be...
Dual-Path Graph Neural Network with Adaptive Auxiliary Module for Link Prediction [0.03%]
基于自适应辅助模块的双路径图神经网络链接预测方法
Zhenzhen Yang,Zelong Lin,Yongpeng Yang et al.
Zhenzhen Yang et al.
Link prediction, which has important applications in many fields, predicts the possibility of the link between two nodes in a graph. Link prediction based on Graph Neural Network (GNN) obtains node representation and graph structure through...
Investigating the Co-Movement and Asymmetric Relationships of Oil Prices on the Shipping Stock Returns: Evidence from Three Shipping-Flagged Companies from Germany, South Korea, and Taiwan [0.03%]
石油价格对航运股票收益的共同变动和不对称关系研究：“证据来自德国、韩国和台湾的三家船籍公司”
Jumadil Saputra,Kasypi Mokhtar,Anuar Abu Bakar et al.
Jumadil Saputra et al.
In the last 2 years, there has been a significant upswing in oil prices, leading to a decline in economic activity and demand. This trend holds substantial implications for the global economy, particularly within the emerging business lands...
A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks [0.03%]
基于MapReduce的从大规模网络中快速检测连通组件的方法
Sajid Yousuf Bhat,Muhammad Abulaish
Sajid Yousuf Bhat
Owing to increasing size of the real-world networks, their processing using classical techniques has become infeasible. The amount of storage and central processing unit time required for processing large networks is far beyond the capabili...
Modeling of Machine Learning-Based Extreme Value Theory in Stock Investment Risk Prediction: A Systematic Literature Review [0.03%]
基于机器学习的极值理论在股票投资风险预测中的建模：系统性文献回顾
Melina Melina,Sukono,Herlina Napitupulu et al.
Melina Melina et al.
The stock market is heavily influenced by global sentiment, which is full of uncertainty and is characterized by extreme values and linear and nonlinear variables. High-frequency data generally refer to data that are collected at a very fas...
The Impact of Big Data Analytics on Decision-Making Within the Government Sector [0.03%]
大数据分析对政府决策的影响
Laila Faridoon,Wei Liu,Crawford Spence
Laila Faridoon
The government sector has started adopting big data analytics capability (BDAC) to enhance its service delivery. This study examines the relationship between BDAC and decision-making capability (DMC) in the government sector. It investigate...
The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach [0.03%]
新冠疫情对二十国集团股市表现的影响：基于长短期记忆循环神经网络方法的证据
Pingkan Mayosi Fitriana,Jumadil Saputra,Zairihan Abdul Halim
Pingkan Mayosi Fitriana
In light of developing and industrialized nations, the G20 economies account for a whopping two-thirds of the world's population and are the largest economies globally. Public emergencies have occasionally arisen due to the rapid spread of ...
Long- and Short-Term Memory Model of Cotton Price Index Volatility Risk Based on Explainable Artificial Intelligence [0.03%]
基于可解释人工智能的棉花价格指数波动风险长短时记忆模型
Huosong Xia,Xiaoyu Hou,Justin Zuopeng Zhang
Huosong Xia
Market uncertainty greatly interferes with the decisions and plans of market participants, thus increasing the risk of decision-making, leading to compromised interests of decision-makers. Cotton price index (hereinafter referred to as cott...
Big Data Confidentiality: An Approach Toward Corporate Compliance Using a Rule-Based System [0.03%]
大数据保密性：使用基于规则的系统实现企业合规的方法
Georgios Vranopoulos,Nathan Clarke,Shirley Atkinson
Georgios Vranopoulos
Organizations have been investing in analytics relying on internal and external data to gain a competitive advantage. However, the legal and regulatory acts imposed nationally and internationally have become a challenge, especially for high...
Consumer Segmentation Based on Location and Timing Dimensions Using Big Data from Business-to-Customer Retailing Marketplaces [0.03%]
基于位置和时间维度的大数据消费者细分方法研究——来自商家对客户零售平台的证据
Fatemeh Ehsani,Monireh Hosseini
Fatemeh Ehsani
Consumer segmentation is an electronic marketing practice that involves dividing consumers into groups with similar features to discover their preferences. In the business-to-customer (B2C) retailing industry, marketers explore big data to ...