Application of Time-Weighted Association Rule Mining in Urban Water Resources Management

Wenhao Jiang; Gaohui Peng

doi:10.62051/ijcsit.v6n2.09

Application of Time-Weighted Association Rule Mining in Urban Water Resources Management

Wenhao Jiang, Gaohui Peng

International Journal of Computer Science and Information Technology, (2025), Vol.6, No.2, pp.90-97

Published: June 11, 2025

DOI: 10.62051/ijcsit.v6n2.09

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Abstract

Based on the water resource data of Zhengzhou City from 1999 to 2023, this study employs the time-weighted Apriori algorithm (with a decay factor of 0.85) combined with static-dynamic discretization preprocessing methods to mine dynamic association rules for three major water use types: integrated urban-rural water use, industrial water use, and agricultural water use. The results indicate that integrated urban-rural water use exhibits rigid growth, with its proportion rising from 18.4% to 67.8%; industrial water use has achieved "reduced volume with enhanced efficiency," with its proportion decreasing from 24.9% to 11.2%; and agricultural water use presents three coexisting patterns: stable, increasing, and decreasing. Water resource allocation strategies have shifted from "production-promotes-water-use" to "water-use-determines-production," with newly added water resources primarily allocated to urban-rural water use.

Keywords: Water resource management, Time-weighted Apriori, Association rule mining, Water use structure, Zhengzhou City

APA Citation: Wenhao Jiang, Gaohui Peng (2025). Application of Time-Weighted Association Rule Mining in Urban Water Resources Management. International Journal of Computer Science and Information Technology, 6(2), 90-97. https://doi.org/10.62051/ijcsit.v6n2.09

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