Cost-sensitive deep forest for price prediction

作者：

Highlights：

• Propose the cost-sensitive deep forest.

• Apply deep forest to price prediction by considering it as a classification problem.

• Develop modified K-means to discretize the price data.

• Test the approach on real datasets of car sharing, house renting and real estate selling.

摘要

•Propose the cost-sensitive deep forest.•Apply deep forest to price prediction by considering it as a classification problem.•Develop modified K-means to discretize the price data.•Test the approach on real datasets of car sharing, house renting and real estate selling.

论文关键词：Cost-sensitive Deep Forest,Ensemble Deep Learning,Price Prediction,Modified K-means

论文评审过程：Received 25 March 2019, Revised 7 April 2020, Accepted 12 June 2020, Available online 15 June 2020, Version of Record 20 June 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107499