Journal Of Artificial Intelligence And Software Engineering
Vol 6, No 1 (2026): Maret

Overcome Limited Data Challenge in Time Series Forecasting with Power Law Algorithm for Attribution Churn Value

Hapsari, Cindy (Unknown)
Yudistira, Bagus Gede Krishna (Unknown)

Article Info

Publish Date
31 Mar 2026

Abstract

Limited historical data is a major challenge in churn forecasting. This study shows that the Power Law Algorithm can model churn-related value patterns reliably even with minimal data, making it a promising approach for early churn analysis when historical data is scarce.

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Journal Info
Journal Of Artificial Intelligence And Software Engineering
Website

Abbrev

JAISE

Publisher

Politeknik Negeri Lhokseumawe

Subject

Computer Science & IT

Description

Artificial Intelligence Natural Language Processing Computer Vision Robotics and Navigation Systems Decision Support System Implementation of Algorithms Expert System Data Mining Enterprise Architecture Design & Management Software & Networking Engineering ...