[Retracted] Data Optimization Analysis of Integrated Energy System Based on K‐Means Algorithm

H Guo, J Li, Z Sun, Z Du… - … and Mobile Computing, 2022 - Wiley Online Library
To learn about the practical application of K‐environment algorithms in electronic data
analysis. To increase the thermal efficiency of boiler combustion and reduce nitrogen oxide …

Planning Marketing Strategies in Small-Scale Business Using Data Analysis

AMP Fernando, A Adhikari… - 2022 3rd …, 2022 - ieeexplore.ieee.org
The proposed research work develops a system focused on business opportunities to
enhance market returns and improve marketing strategies and new strategies by identifying …

RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce

L Yang, X Niu, J Wu - arXiv preprint arXiv:2109.00724, 2021 - arxiv.org
It is reported that the number of online payment users in China has reached 854 million; with
the emergence of community e-commerce platforms, the trend of integration of e-commerce …

Pengklasteran Data Pelanggan Dari Aplikasi Mobile Untuk Penentuan Strategi Pemasaran Produk PLN

KA Tritamtama, D Purwitasari - Journal of Information System …, 2023 - jurnal.istts.ac.id
Perkembangan teknologi dan internet memungkinkan pengguna bertransaksi melalui
aplikasi seluler, termasuk pembayaran tagihan dan pembelian token listrik. Aplikasi PLN …

Customer analytics research: Utilizing unsupervised machine learning techniques

A Kinge, PB Hrithik, Y Oswal, N Kulkarni - Data Intelligence and Cognitive …, 2022 - Springer
As the retail industry is growing, the challenges faced by small retail store owners have
increased even more. While retail chain giants enjoy huge profits, small store owners …

Customer Segmentation Based on Recency Frequency Monetary (RFM) and User Event Tracking (UET) Using K-Means Algorithm

A Solichin, G Wibowo - 2022 IEEE 8th Information Technology …, 2022 - ieeexplore.ieee.org
Business competition in e-commerce today is very tight, so every company is competing to
increase sales. One is by providing the best customer service, so customer loyalty is formed …

Using recency, frequency and monetary variables to predict customer lifetime value with XGBoost

ME Myburg - 2023 - open.uct.ac.za
CRM) will continue to gain prominence in the coming years. A commonly used CRM metric
called Customer Lifetime Value (CLV) is the value a customer will contribute while they are …

Mall Customer Segmentation Using K-Means Clustering

Ashwani, G Kaur, L Rani - International Conference on Data Analytics & …, 2023 - Springer
This research paper aims to investigate using k-means clustering for segmenting mall
customers utilizing a dataset. Customer segmentation is a crucial aspect of marketing …

Research on Enterprise Digital Precision Marketing Strategy Based on Big Data

K Cheng - Mathematical Problems in Engineering, 2022 - search.proquest.com
The combination and application of big data and machine learning in the offline consumer
market makes the formulation of marketing strategies more scientific. The use of machine …

A Comparative Study of RFM-Based Clustering Methods in Customer Segmentation

K Ahammed, RU Azad, M Al Jaber… - … on Computer and …, 2023 - ieeexplore.ieee.org
To exist in the present competitive market, companies should focus on their customers,
understand their needs, and fulfill them. Providing value to the customer is a necessary thing …