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- research-articleNovember 2024
Machine Learning-Driven Industry Index Rebound Prediction: A New Perspective Through Image Analysis
ICDSM '24: Proceedings of the International Conference on Decision Science & ManagementPages 289–294https://doi.org/10.1145/3686081.3686130Addressing the challenge of predicting the trend of industry index net value, this paper introduces a statistical analysis method based on supervised learning algorithms. This method processes data from recent years for indices such as the National ...
- research-articleNovember 2024
Design and Implementation of a Business English Teaching Resource Management System Utilizing the K-means Clustering Algorithm
ICDSM '24: Proceedings of the International Conference on Decision Science & ManagementPages 249–252https://doi.org/10.1145/3686081.3686123For the evaluation of English teachers teaching abilities, we should develop corresponding teaching resource allocation plans and evaluate them. To quickly evaluate the business English teaching model, this article proposes an evaluation method for ...
- research-articleNovember 2024
Random Matrix Weighting Algorithm Based Whole Life Project Cost Management
ICDSM '24: Proceedings of the International Conference on Decision Science & ManagementPages 162–167https://doi.org/10.1145/3686081.3686107The application of the Randomised Matrix Weighting Algorithm (RMWA) has greatly contributed to the construction industry's quest for effective Whole Life Cycle Project Cost Management (WLPCM). This paper provides a comprehensive study of the application ...
- research-articleNovember 2024
Transformer Fault Early Warning Method Based on AAKR Algorithm
ICDSM '24: Proceedings of the International Conference on Decision Science & ManagementPages 127–133https://doi.org/10.1145/3686081.3686101As the core equipment of the substation, the stable operation of the transformer is the key to the normal operation of the power system. Aiming at the high cost and difficulty of regular maintenance and inspection of transformers, this paper proposes an ...
- research-articleNovember 2024
Research on the Application of Big Data Analysis in Consumer Behavior Pattern Recognition
ICDSM '24: Proceedings of the International Conference on Decision Science & ManagementPages 112–116https://doi.org/10.1145/3686081.3686098With the development and application of big data technology, the analysis of consumer behavior has become more in-depth and accurate. This research focuses on the application of big data analysis in consumer behavior pattern recognition, using a variety ...
- research-articleNovember 2024
A Study on Relationship between Digital Transformation、Excess Cash Holdings and Investment Efficiency
ICDSM '24: Proceedings of the International Conference on Decision Science & ManagementPages 28–36https://doi.org/10.1145/3686081.3686086With the digital era as the background, many companies are making digital transformation through digital technologies such as artificial intelligencethe. Digital transformation has changed the organizational structure and operating model of the ...
- research-articleNovember 2024
Deep Learning Techniques in Time Series Forecasting: a Study on RMB Exchange Rate Forecasting Based on Google Search Data
ICDSM '24: Proceedings of the International Conference on Decision Science & ManagementPages 21–27https://doi.org/10.1145/3686081.3686085This study is devoted to exploring the application of time series forecasting models in RMB exchange rate movements, and focuses on comparing the forecasting effects of the traditional ARIMA model and the deep learning-based LSTM model. By comparing the ...