A brief survey of machine learning and deep learning techniques for e-commerce research
The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …
techniques to address specific tasks in the e-commerce field. In this paper, we present a …
IoT data visualization for business intelligence in corporate finance
C Shao, Y Yang, S Juneja, T GSeetharam - Information Processing & …, 2022 - Elsevier
Business intelligence (BI) incorporates business research, data mining, data visualization,
data tools, infrastructure, and best practices to help businesses make more data-driven …
data tools, infrastructure, and best practices to help businesses make more data-driven …
Social media data analytics for business decision making system to competitive analysis
J Yang, P Xiu, L Sun, L Ying, B Muthu - Information Processing & …, 2022 - Elsevier
For the past few years, business intelligence has been a major field that uses data analysis
to produce key information as part of business decision-making. Data collected from social …
to produce key information as part of business decision-making. Data collected from social …
[HTML][HTML] Combined power generation and electricity storage device using deep learning and internet of things technologies
C Iwendi, GG Wang - Energy Reports, 2022 - Elsevier
In microgrids, residential customers play a significant part in the operation. An alternative to
client administration should be to utilize smart houses to deal with demand and implement …
client administration should be to utilize smart houses to deal with demand and implement …
WITHDRAWN: Consumer behaviour analysis for business development
J Zhao, F Xue, S Khan, SFA Khatib - 2021 - Elsevier
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Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms
In the digital era, innovations in business intelligence are critical to staying competitive and
popular across the growing business trends. Businesses have begun to investigate the next …
popular across the growing business trends. Businesses have begun to investigate the next …
IoE-supported smart logistics network communication with optimization and security
J Zhan, S Dong, W Hu - Sustainable Energy Technologies and …, 2022 - Elsevier
Goods and services can be tracked in real-time with smart logistics. Smart logistics have
been utilized by enterprises, transportation applications, and delivery services for some time …
been utilized by enterprises, transportation applications, and delivery services for some time …
Research on the optimization of the management process on internet of things (Iot) for electronic market
H Zhao, PL Chen, S Khan, OI Khalafe - The Electronic Library, 2021 - emerald.com
Purpose Quality is considered one of the essential competitive priorities for managing the
Small, Medium Electronics Enterprises (SMEE) market in China; here, the most critical …
Small, Medium Electronics Enterprises (SMEE) market in China; here, the most critical …
Implications for sustainability in supply chain management and the circular economy using machine learning model
D Wang, Y Zhang - Information Systems and e-Business Management, 2020 - Springer
Abstract The definition of “Industry 4.0” would contribute to that distributed manufacturing
systems, real-time information and inevitably a lot more product information. In this case, the …
systems, real-time information and inevitably a lot more product information. In this case, the …
A PCA-AdaBoost model for E-commerce customer churn prediction
Z Wu, L Jing, B Wu, L Jin - Annals of operations research, 2022 - Springer
Customer churn is detrimental to corporate revenue. Hence, accurate customer churn
prediction is vital for enterprises to improve customer retention and corporate revenue …
prediction is vital for enterprises to improve customer retention and corporate revenue …