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An enhanced feature representation based on linear regression model for stock market prediction

Research article (Intelligent Data Analysis, 2018) · cited 13× · AI/ML
academia openalex:W2794142102
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An enhanced feature representation based on linear regression model for stock market prediction

Summary

An enhanced feature representation based on linear regression model for stock market prediction is a scholarly article[1].

Key Facts

  • An enhanced feature representation based on linear regression model for stock market prediction's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An enhanced feature representation based on linear regression model for stock market prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-enhanced-feature-representation-based-on-linear-regression-model-for-stock-market-prediction
MLA “An enhanced feature representation based on linear regression model for stock market prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-enhanced-feature-representation-based-on-linear-regression-model-for-stock-market-prediction.
BibTeX @misc{4ortxyz_an-enhanced-feature-representation-based-on-linear-regression-model-for-stock-market-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An enhanced feature representation based on linear regression model for stock market prediction}}, year = {2026}, url = {https://4ort.xyz/entity/an-enhanced-feature-representation-based-on-linear-regression-model-for-stock-market-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An enhanced feature representation based on linear regression model for stock market prediction — https://4ort.xyz/entity/an-enhanced-feature-representation-based-on-linear-regression-model-for-stock-market-prediction (retrieved 2026-05-24)

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