Customer Market Segmentation using Machine Learning Algorithm

Swesh Raj Regmi · Jasraj Meena · Utkarsh Kanojia · Vishesh Kant

14 citations0/0 files storedInternational Conference on Trends in Electronics and Informatics (ICOEI)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Customer churn and segmentation Advanced Clustering Algorithms Research Data Mining and Machine Learning Applications

Abstract

Everything is becoming more mechanized in today's times, especially in this age of data. Data is the world's new electricity. Many firms can benefit from this information in their marketing efforts. Every company wanted to grow and be better than the competition, so they employed innovative ideas and invested in product development, but only to keep their customers and expand their market. Customers are segmented in today's commercial world. They analyze their consumers' behaviors and purchasing patterns and can assist them in generating profit. Customer segmentation refers to the process of categorizing a company's customers into groups based on their commonalities. Client segmentation is the process of determining how to interact with consumers in different groups to amplify the value of each customer to the company. Unsupervised machine learning is used to segment customers. There are many algorithms that can partition customers based on their behavior and other parameters, and our study's main goal is to cluster customers into various clusters based on their behavior patterns. This research study has compared five clustering algorithms and selected the best of them for further research.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 14 citations exist upstream.

References

2006Rediscovering market segmentation.1996Market segmentation based on age and attitude toward the past: Concepts, methods, and findings concerning nostalgic influences on customer tastes 2018Customer Segmentation using K-means Clustering 2018Machine-Learning Techniques for Customer Retention: A Comparative Study 2021Integrated Churn Prediction and Customer Segmentation Framework for Telco Business 2014A Machine Learning Framework for Predicting Purchase by Online Customers based on Dynamic Pricing 2010A Two Phase Clustering Method for Intelligent Customer Segmentation 2010Multicriterion Market Segmentation: A New Model, Implementation, and Evaluation

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.