Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling

Research article (2019 4th MEC International Conference on Big Data and Smart City (ICBDSC), 2019) · cited 32× · AI/ML
Press Enter · cited answer in seconds

Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling

Summary

Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling is a scholarly article[1].

Key Facts

  • Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling. Retrieved May 24, 2026, from https://4ort.xyz/entity/determining-the-intervening-effects-of-exploratory-data-analysis-and-feature-engineering-in-telecoms-customer-churn-mode
MLA “Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/determining-the-intervening-effects-of-exploratory-data-analysis-and-feature-engineering-in-telecoms-customer-churn-mode.
BibTeX @misc{4ortxyz_determining-the-intervening-effects-of-exploratory-data-analysis-and-feature-engineering-in-telecoms-customer-churn-mode_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling}}, year = {2026}, url = {https://4ort.xyz/entity/determining-the-intervening-effects-of-exploratory-data-analysis-and-feature-engineering-in-telecoms-customer-churn-mode}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling — https://4ort.xyz/entity/determining-the-intervening-effects-of-exploratory-data-analysis-and-feature-engineering-in-telecoms-customer-churn-mode (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/determining-the-intervening-effects-of-exploratory-data-analysis-and-feature-engineering-in-telecoms-customer-churn-mode · Last refreshed: