A variable-scale dynamic clustering method

A Wang, X Gao - Computer Communications, 2021 - Elsevier
With the high intensity and density of aerospace launch in China, aerospace project
materials management faces various challenges, such as multiple aerospace projects …

[PDF][PDF] IUCStream: A Novel Increment Update Clustering Algorithm for Commodity Stream Data Analysis in e-Commerce and Logistics.

P Fu, Y Chen, H Yin - J. Comput., 2013 - Citeseer
With China's rapid development of e-commerce and logistics, many large electronic
business enterprises start to establish large volume warehouses. It takes a long time to …

Intelligent computing: knowledge acquisition method based on the management scale transformation

A Wang, X Gao - The Computer Journal, 2021 - academic.oup.com
The widespread scale effect always generates significant changes in the properties or
characteristics of management objects with different observation scales. Thus, this paper …

Dynamic clustering of inventory parts to enhance warehouse management

F Aqlan - European Journal of Industrial Engineering, 2017 - inderscienceonline.com
Inventory management in today's complex manufacturing environments has become
increasingly challenging. Ineffective management of inventory can lead to material …

Online real-time trajectory analysis based on adaptive time interval clustering algorithm

J Li, H Jiao, J Wang, Z Liu, J Wu - Big Data Mining and …, 2020 - ieeexplore.ieee.org
With the development of Chinese international trade, real-time processing systems based on
ship trajectory have been used to cluster trajectory in real-time, so that the hot zone …

Research on the optimisation of logistics parcel intelligent sorting and conveying chain combined with variable clustering mathematical method

S Yan, L Huang - Applied Mathematics and Nonlinear Sciences, 2022 - sciendo.com
The rapid development of China's economy, especially the rapid rise of the logistics and
distribution industry in recent years, coupled with the rise of e-commerce in recent years, has …

A dynamic clustering method to large-scale distribution problems

Z Tang, B Li, H Qiu - Journal of Systems Science and Information, 2015 - degruyter.com
This paper presents the dynamic fuzzy clustering method to solve the multi-producers to
multi-customers large-scale distribution problem. The proposed method includes three …

Load Data Analysis Based on Timestamp-Based Self-Adaptive Evolutionary Clustering

R Lin, Z He, H Zou, B Wu - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Smart grid system can obtain users' daily load data, and by clustering, we can get users'
load profiles to divide them into industrial, commercial and residential types. Load data has …

[Retracted] The Development Trend of China's Agricultural Product Cold Chain Logistics from the Perspective of Big Data

S Wang - Advances in Multimedia, 2022 - Wiley Online Library
With the gradual prosperity of social economy, people's demand for agricultural products
consumption has also gradually increased. Through the efficient introduction of big data …

An incremental CFS algorithm for clustering large data in industrial internet of things

Q Zhang, C Zhu, LT Yang, Z Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the rapid advances of sensing technologies and wireless communications, large
amounts of dynamic data pertaining to industrial production are being collected from many …