Queue-based data display for enhanced prediction of two-dimensional time series methods

Sep 6, 2025#时间序列 #预测 #机器学习7

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This post is translated from Chinese into English through AI.View Original

AI-generated summary

The paper presents a novel two-dimensional (2D) time series forecasting model that incorporates cohort behavior over time, specifically designed to tackle challenges in small data environments. Through multiple real-world datasets, the model demonstrates superior accuracy and adaptability compared to traditional reference models. This approach provides valuable insights for strategic decision-making in industries dealing with financial and marketing forecasting challenges.

2508.15369v1

English Title#

Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data

Abstract#

This paper introduces a novel two-dimensional (2D) time series forecasting model that integrates cohort behavior over time, addressing challenges in small data environments. We demonstrate its efficacy using multiple real-world datasets, showcasing superior performance in accuracy and adaptability compared to reference models. The approach offers valuable insights for strategic decision-making across industries facing financial and marketing forecasting challenges.

Article Page#

Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data

PDF Access#

View English PDF - 2508.15369v1

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