Data Mining Methodologies in the Banking Domain: A Systematic Literature Review

Plotnikova, Veronika; Dumas, Marlon; Milani, Fredrik

doi:10.1007/978-3-030-31143-8_8

Cited by 5 publications

(2 citation statements)

References 42 publications

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“…Banks are still the main channel of financing small businesses. Although considering the default risk is critical for banks in credit allocation, they can help their customers make an informed decision 90 . Therefore, helping with the issue of end-to-end process methodology is examined in this paper.…”

Section: Contributionmentioning

confidence: 99%

“…There are several aspects to the problem to be examined, particularly ML and AI's different banking domain purposes 90 regarding data-driven business processes and adapted banking industry practices. This part focuses on the customer as shown in Table 3, including personalised procedure from customer identification to cross-selling.…”

Section: Banking and Customer Successmentioning

confidence: 99%

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

Edrisi

2021

Preprint

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

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Section: Contributionmentioning

confidence: 99%

Section: Banking and Customer Successmentioning

confidence: 99%