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Both forecast intervals and a series of scenarios are used to illustrate numerous possible results. When juxtaposed with stochastic optimization, deterministic optimizations, and resilient and interval optimization, the integrated method of optimization has the advantage in computing speed, risk management, ...
The future demand for geoduck in Asia is expected to remain strong. China is the largest market for geoduck and is considered one of the fastest growing market economies in the world. Furthermore, China׳s middle class is forecast to expand, fuelling the demand for high valued and high qu...
In terms of product/services type, the targeted type segment is expected to account for a dominant share of the global market during the forecast period.Competition Landscape: o Ele.me o Meituan Waimai o Just-eat o GrubHub o Delivery Hero...
[16]. Though, ML techniques can be applied to aid in data mining, the goal of data mining problems is to critically and meticulously analyze data—its features, variables, invariants, temporal granularity, probability distributions and their transformations. However, ML goes beyond data mining to ...
Law and regulations from January 2010 until December of 2019 were gathered using text mining. Collected data were then analysed with the help of a qualitative data analysis software called NVivo. Finding shows that GoJek has become the most prominent ride-haling in Indonesia, and the positive ...
[480] bandwidth forecasting AR models for traffic monitoring and measurement. The goal of the system is to forecast the available bandwidth on a given path by feeding the NN with the minimum, maximum and average number of bits per second used on that path in the last epoch (ranging from ...
Base technologies comprise the use of IoT, cloud computing, big data, and analytics (including data mining and artificial intelligence tools). Other works have adopted similar perspectives on the core Industry 4.0 technologies (e.g., Thoben et al., 2017; Zhong et al., 2017). Base ...
The result of these optimization algorithms on the forecast accuracy of DL-based forecasting strategies is investigated for big data applications Besides, generally used DL methods are also debated, along with their flaws and resilience. Xiao et al. explore the potential applications of data mining ...
Attanasi et al. (2020) point out that the Random Forest can also accurately predict oil well productivity. The research of Gu et al. (2021) used XGBoost as a proxy model to predict the water cut of wells, which assists productivity forecast. Moreover, the multiple types of the data-dri...