The present disclosure is related to field of Artificial Intelligence (AI) and finance that provides AI based methods and systems for maximizing credit card revenue. The objective of the methods and systems disclosed in the present disclosure is to induce spending by personalizing offers and communications that are tailored towards customer need, identifying potential revolvers in the credit card portfolio to give them right line of credit and treatment to enrich their revolving experience, build portfolio balance through installment loan sell and proactively, identifying potential attritors and stop the portfolio leakage. To achieve the aforementioned objectives, the claimed invention provides a hybrid market recommender for personalizing ...
Credit card fraud is a major problem that has caused several challenges for practitioners in the acc...
The usage of machine learning in finance has been increased a lot in the past decade. Machine learni...
The paper presents methods for classification of applicants into different categories of credit risk...
In this paper, a mixed model for credit scoring is orchestrated which applies bundle learning for cr...
An effective machine learning implementation means that artificial intelligence has tremendous poten...
Artículo de revistaThe use of artificial intelligence tools has escalated recently in all sectors of...
This paper examines two different yet related questions related to explainable AI (XAI) practices. M...
In the past few years, Artificial Intelligence (AI) has evolved into a powerful tool applied in mult...
The article presents the results of the analysis which was conducted to develop a credit assessment ...
In the recent years, data science methods have been developed considerably and have consequently fou...
This book focuses on the alternative techniques and data leveraged for credit risk, describing and a...
Abstract- Credit card deception is an inclusive word for theft and fraud dedicated using a credit ca...
Credit card fraud is a major issue in financial administrations. Billions of dollars are lost becaus...
Artificial intelligence techniques have long been applied to financial investing scenarios to determ...
Prior PCs was simply sorted as a need of an individual yet now it turns into a need of a person. AI ...
Credit card fraud is a major problem that has caused several challenges for practitioners in the acc...
The usage of machine learning in finance has been increased a lot in the past decade. Machine learni...
The paper presents methods for classification of applicants into different categories of credit risk...
In this paper, a mixed model for credit scoring is orchestrated which applies bundle learning for cr...
An effective machine learning implementation means that artificial intelligence has tremendous poten...
Artículo de revistaThe use of artificial intelligence tools has escalated recently in all sectors of...
This paper examines two different yet related questions related to explainable AI (XAI) practices. M...
In the past few years, Artificial Intelligence (AI) has evolved into a powerful tool applied in mult...
The article presents the results of the analysis which was conducted to develop a credit assessment ...
In the recent years, data science methods have been developed considerably and have consequently fou...
This book focuses on the alternative techniques and data leveraged for credit risk, describing and a...
Abstract- Credit card deception is an inclusive word for theft and fraud dedicated using a credit ca...
Credit card fraud is a major issue in financial administrations. Billions of dollars are lost becaus...
Artificial intelligence techniques have long been applied to financial investing scenarios to determ...
Prior PCs was simply sorted as a need of an individual yet now it turns into a need of a person. AI ...
Credit card fraud is a major problem that has caused several challenges for practitioners in the acc...
The usage of machine learning in finance has been increased a lot in the past decade. Machine learni...
The paper presents methods for classification of applicants into different categories of credit risk...