Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business

• DOI: 10.48550/arxiv.2105.03852
• Publication Date: 2021-01-01
• Authors: Mohammadamin Edrisi
• Keywords: Feature (linguistics)

Establishing a new business may involve Knowledge acquisition in various areas, from personal to and marketing sources. This task is challenging as it requires examining data islands uncover hidden patterns unknown correlations such purchasing behavior, consumer buying signals, demographic socioeconomic attributes of different locations. paper introduces novel framework for extracting identifying important features banking non-banking sources address this challenge. We present an attention-based supervised feature selection approach select relevant which contribute most the customer's query regarding establishing business. report on experiment conducted openly available dataset created Kaggle UCI machine learning repositories.