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Users Segmentation Based on Google Analytics Income Using K-Means · Study

WorkUsers Segmentation Based on Google Analytics Income Using K-Means

Alexandra La Cruz2021

Work2021

Users Segmentation Based on Google Analytics Income Using K-Means

Alexandra La Cruz · Érika Severeyn · Roberto Matute · Juan Carlos Estrada

7 citations·0/0 files stored·Communications in computer and information science

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

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References

2020Determine the Number of Unknown Targets in Open World Based on Elbow Method 2018Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study 2018Customer Segmentation using K-means Clustering 2017One size does (obviously not) fit all: Using product attributes for wine market segmentation 2018Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision 2018An Economic Model of the Evolution of Food Retail and Supply Chains from Traditional Shops to Supermarkets to E‐Commerce 2018Market Segmentation Analysis and Visualization using K-Mode Clustering Algorithm for E-Commerce Business 2017Segmenting & profiling the deflecting customer: understanding shopping cart abandonment

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Details

Year2021

Typeother

Published2021-01-01

VenueCommunications in computer and information science

ISSN-L1865-0929

Languageen

Citations7

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-3-030-89941-7_16

openalex_workW3217718665

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