Data mining for credit card fraud: a comparative study

Bhattacharyya, Siddhartha, Jha, Sanjeev, Tharakunnel, Kurian, Westland, J. Christopher·2011·Decision Support Systems

Cited by (1,000)

Items 401–500 of 1,000

  1. A Bayes Risk Minimization Machine for Example-Dependent Cost Classification
    Marcelino Lázaro, Aníbal Ramón Figueiras-Vidal · 2019 · IEEE Transactions on Cybernetics
  2. Fraud Detection under Multi-Sourced Extremely Noisy Annotations
    Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
  3. Database Audit Workload Prioritization via Game Theory
    Chao Yan, Bo Li, Yevgeniy Vorobeychik, Áron Lászka, Daniel Fabbri, Bradley Malin · 2019 · ACM Transactions on Privacy and Security
  4. Hybrid Method in Identifying the Fraud Detection in the Credit Card
    Pooja Tiwari, Simran Mehta, Nishtha Sakhuja, Ishu Gupta, Ashutosh Kumar Singh · 2020 · Lecture notes on data engineering and communications technologies
  5. An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams
    Puyang Zhao, Wei Tian, Lefu Xiao, Xinhui Liu, Jingjin Wu · 2022 · International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS)
  6. Fraud identification of credit card using ML techniques
    Roopesh Akula · 2020 · International Journal of Computing and Artificial Intelligence
  7. A scientometric analysis of the structure and trends in corporate fraud research: a 66-year review
    Godfred Matthew Yaw Owusu, Theodora Aba Abekah Koomson, George Nana Agyekum Donkor · 2023 · Journal of Financial Crime
  8. ANALYSIS OF DATA ENGINEERING FOR FRAUD DETECTION USING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES
    2023 · International Research Journal of Modernization in Engineering Technology and Science
  9. Fraud Detection under Siege: Practical Poisoning Attacks and Defense Strategies
    Tommaso Paladini, Francesco Monti, Mario Polino, Michele Carminati, Stefano Zanero · 2023 · ACM Transactions on Privacy and Security
  10. Credit Card Fraud Detection with Subspace Learning-based One-Class Classification
    Zaffar Zaffar, Fahad Sohrab, Juho Kanniainen, Moncef Gabbouj · 2023 · IEEE Symposium Series on Computational Intelligence (SSCI)
  11. Multi-view GCN for loan default risk prediction
    Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu · 2024 · Neural Computing and Applications
  12. Deep Learning for Real-Time Fraud Detection: Enhancing Credit Card Security in Banking Systems
    Mohammad Iftekhar Ayub, Biswanath Bhattacharjee, Pinky Akter, Mohammad Nasir Uddin, Arun Kumar Gharami, Md. Shafiqul Islam, Shaidul Islam Suhan, Md Sayem Khan, Lisa Chambugong · 2025 · The American Journal of Engineering And Technology
  13. A Hybrid CNN-LSTM Approach for Detecting Anomalous Bank Transactions: Enhancing Financial Fraud Detection Accuracy
    Tamanna Pervin, Sharmin Akter, Sadia Afrin, Md. Murad Hossain, MD Sajedul Karim Chy, Sadia Akter, Mohd. Hasan, Md Mahmudur Rahman, Chowdhury Amin Abdullah · 2025 · The American Journal of Management and Economics Innovations
  14. To imprison or not to imprison: an analytics model for drug courts
    Dursun Delen, Hamed Majidi Zolbanin, Durand H. Crosby, David M. Wright · 2021 · Annals of Operations Research
  15. Feature generation and contribution comparison for electronic fraud detection
    Yen-Wu Ti, Yu-Yen Hsin, Tian‐Shyr Dai, Ming-Chuan Huang, Liang‐Chih Liu · 2022 · Scientific Reports
  16. A fourier spectral pattern analysis to design credit scoring models
    Roberto Saia, Salvatore Carta · 2017
  17. FraudBuster: Temporal Analysis and Detection of Advanced Financial Frauds
    Michele Carminati, Alessandro Baggio, Federico Maggi, Umberto Spagnolini, Stefano Zanero · 2018 · Lecture notes in computer science
  18. Machine Learning Applied to Rotating Check Fraud Detection
    Christine Hines, Abdou S. Youssef · 2018 · International Conference on Data Intelligence and Security (ICDIS)
  19. Fraud Detection in Online Transactions Using Supervised Learning Techniques
    Akshi Kumar, Garima Gupta · 2018 · Springer eBooks
  20. A Novel Approach for Credit Card Fraud Detection
    Ayushi Agrawal, Shiv Kumar, Amit Kumar Mishra · 2015 · International Conference on Computing for Sustainable Global Development
  21. Identifying Smuggling Vessels with Artificial Neural Network and Logistics Regression in Criminal Intelligence Using Vessels Smuggling Case Data
    Chih-Hao Wen, Ping‐Yu Hsu, Chung-yung Wang, Tai-Long Wu · 2012 · Lecture notes in computer science
  22. A Comparative Study on Credit Card Fraud Detection
    KOUSHIK DEB, Souvik Ghosal, Debkanya Bose · 2021
  23. Comparative Evaluation of Fraud Detection in Online Payments Using CNN-BiGRU-A Approach
    Prabhakar K, M. S. Giridhar, Amrita Tatia, Trupti Mandar Joshi, Subharun Pal, Upendra Singh Aswal · 2023 · International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
  24. Developing a scoring model for managing money laundering transactions using machine learning
    Eric Halford, Ian Gibson, Mark Newfield, Mufazzal Dhanwala · 2025 · Journal of Money Laundering Control
  25. Assessing Replicability of Machine Learning Results: An Introduction to Methods on Predictive Accuracy in Social Sciences
    Ranjith Vijayakumar, Mike W.‐L. Cheung · 2019 · Social Science Computer Review
  26. DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection
    Abhimanyu Bhowmik, Madhushree Sannigrahi, Deepraj Chowdhury, Ashutosh Dhar Dwivedi, Raghava Rao Mukkamala · 2022 · IEEE International Conference on Big Data (BigData)
  27. Online Transaction Anomaly Detection Model for Credit Card Usage Using Machine Learning Classifiers
    Bipin Bihari Jayasingh, G. Bhagya Sri · 2023 · International Conference on Emerging Smart Computing and Informatics (ESCI)
  28. Credit Card Fraud Detection Using Machine Learning Based on Support Vector Machine
    T. Priyaradhikadevi, S. Vanakovarayan, E. Praveena, V. Mathavan, S. Prasanna, K. Madhan · 2023 · International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
  29. Credit Card Fraud Detection using Machine Learning and Data Mining Techniques - a Literature Survey
    Devicharan Rai M., S. N. Jagadeesha · 2023 · International Journal of Applied Engineering and Management Letters
  30. A Systematic Review of Machine Learning Advances in Financial Fraud Detection for Banking Systems
    Maryann Inimfon Atakpa, Nyiawung Fobellah Abetoh · 2022 · International Journal of Scientific Research in Computer Science Engineering and Information Technology
  31. I call BS: Fraud Detection in Crowdfunding Campaigns
    Beatrice Perez, Sara Machado, Jerone T. A. Andrews, Nicolas Kourtellis · 2022 · ACM Web Science Conference (WebSci)
  32. Two-stage adaptive integration of multi-source heterogeneous data based on an improved random subspace and prediction of default risk of microcredit
    Anzhong Huang, Fei Wu · 2020 · Neural Computing and Applications
  33. Credit Card Fraud Detection Using Machine Learning
    Disha A. Date, Rugvedi Y. More, Rutuja P. Harne, Dilip Dalgade · 2022 · International Journal for Research in Applied Science and Engineering Technology
  34. Blockchain-Based Fraud Detection: A Comparative Systematic Literature Review of Federated Learning and Machine Learning Approaches
    Halima Farrukh, Sidra Zafar, Zia Ul Rehman, Asghar Ali Shah, Nizal Alshammry · 2025 · Electronics
  35. Financial Fraud Detection and Comparison Using Different Machine Learning Techniques
    Pratishank Shukla, Mukul Aggarwal, Prakarsh Jain, Parijat Khanna, Madhur Kumar Rana · 2023 · International Conference on Technological Advancements in Computational Sciences (ICTACS)
  36. Deep neural networks for corporate misconduct prediction in construction industry using data from social networks
    Ran Wang, Yanyan Liu, Bin Xue, Bingsheng Liu, Junna Meng · 2024 · Automation in Construction
  37. Credit Card Fraud Identification Based on Principal Component Analysis and Improved Adaboost Algorithm
    Hua Zhou, Luyang Wei, Gangyi Chen, Peng Lin, Yangkai Lin · 2019 · International Conference on Intelligent Computing, Automation and Systems (ICICAS)
  38. Detection and Analysis of Credit Card Application Fraud Using Machine Learning Algorithms
    Yaodong Han, Shun Yao, Tie Xiang Wen, Zhenyu Tian, Changyu Wang, Zheyuan Gu · 2020 · Journal of Physics Conference Series
  39. CDGAT: a graph attention network method for credit card defaulters prediction
    Jun Wu, Xiongfei Zhao, Hang Yuan, Yain‐Whar Si · 2022 · Applied Intelligence
  40. Predicting health insurance claim frauds using supervised machine learning technique
    K. Veena, Subrahmanian Supriya, D. Deepa, J. Cruz Antony, G. M. Karpura Dheepan, Ayila Sri Dharma Siva Pavan, PagadalaHariprasad · 2023 · International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
  41. Identification and Detection of Credit Card Frauds Using CNN
    C. M. Nalayini, Jeevaa Katiravan, A. R. Sathyabama, P. V. Rajasuganya, K. Abirami · 2023 · Springer proceedings in mathematics & statistics
  42. Enhancing Transparency and Privacy in Financial Fraud Detection: The Integration of Explainable AI and Federated Learning
    Waquar Ahmad, Aditya Vashist, Neel Sinha, Manisha Prasad, Vishesh Shrivastava, Junaid Hussain Muzamal · 2024 · Communications in computer and information science
  43. Interactive Multi-View Visualization for Fraud Detection in Mobile Money Transfer Services
    Evgenia Sergeevna Novikova, Igor Vitalievich Kotenko, Evgenii Fedotov · 2014 · International Journal of Mobile Computing and Multimedia Communications
  44. A Novel Cardholder Behavior Model for Detecting Credit Card Fraud
    Yiğit Kültür, Mehmet Ufuk Çağlayan · 2017 · Intelligent Automation & Soft Computing
  45. Machine Learning Applied to Point-of-Sale Fraud Detection
    Christine Hines, Abdou S. Youssef · 2018 · Lecture notes in computer science
  46. A Survey on Machine Learning Techniques for Insurance Fraud Prediction
    Komal S. Patil · 2018 · Helix
  47. Introducing a Method for Combining Supervised and Semi-Supervised Methods in Fraud Detection
    Abdollah Eshghi, Mehrdad Kargari · 2019 · Iran International Industrial Engineering Conference (IIIEC)
  48. Credit Card Fraud Detection using Time Series Analysis
    R Devaki., Kathiresan. · 2014
  49. A Fraud Detection System in Financial Networks Using AntiBenford Subgraphs and Machine Learning Algorithms
    Rachna K. Somkunwar, Amit Purushottam Pimpalkar, Kartik M. Katakdound, Atharva S. Bhide, Soham P. Chinchalkar, Yogeshwar M. Patil · 2023 · International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
  50. Explainable AI supported Evaluation and Comparison on Credit Card Fraud Detection Models
    Chanisara Kotrachai, Praewsuphang Chanruangrat, Tipajin Thaipisutikul, Worapan Kusakunniran, Wen-Chin Hsu, Yi-Chun Sun · 2023
  51. Machine Learning Classifiers for Detecting Credit Card Fraudulent Transactions
    Bharti Chugh, Nitin Malik · 2022 · Lecture notes in networks and systems
  52. Implementation of Novel Approach for Credit Card Fraud Detection
    Ayushi Agrawal, Shiv Kumar, Amit Kumar Mishra · 2015 · International Conference on Computing for Sustainable Global Development
  53. Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications
    Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi · 2015 · International Journal of Computational Intelligence and Applications
  54. Business Process Anomali Detection using Multi-Level Class Association Rule Learning
    Fernandes Sinaga, Riyanarto Sarno · 2016 · Center for Scientific Publication (Institut Teknologi Sepuluh Nopember (ITS))
  55. Open issues in cybercriminal profiling
    Adedayo M. Balogun, Tranos Zuva · 2017 · International Conference on Next Generation Computing Applications (NextComp)
  56. FraudMemory: Explainable Memory-Enhanced Sequential Neural Networks for Financial Fraud Detection
    Kunlin Yang, Wei Hong Xu · 2019 · Hawaii International Conference on System Sciences (HICSS)
  57. Detecting Default Payment Fraud in Credit Cards
    Srinivas Padmanabhuni, Aditya Sai Kandukuri, Debachudamani Prusti, Santanu Kumar Rath · 2019 · IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT)
  58. An Efficient Techniques for Fraudulent detection in Credit Card Dataset: A Comprehensive study
    Akanksha Bansal, Hitendra Garg · 2021 · IOP Conference Series Materials Science and Engineering
  59. Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams
    Roberto Saia, Ludovico Boratto, Salvatore Carta · 2015 · International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
  60. A Survey of Online Card Payment Fraud Detection using Data Mining-based Methods
    Bemali Wickramanayake, Dakshi Kapugama Geeganage, Chun Ouyang, Yue Xu · 2020 · arXiv (Cornell University)
  61. Artificial Intelligence, Ethics, and Intergenerational Responsibility
    Victor Klockmann, Alicia von Schenk, Marie Claire Villeval · 2021 · SSRN Electronic Journal
  62. Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection
    Yao Zou, Sheng Xiang, Qijun Miao, Dawei Cheng, Changjun Jiang · 2024 · Lecture notes in computer science
  63. Managing extreme cryptocurrency volatility in algorithmic trading: EGARCH via genetic algorithms and neural networks
    David Alaminos, M. Belén Salas, Ángela Callejón Gil · 2024 · Quantitative Finance and Economics
  64. A Review of Natural Language Processing for Social Media-Based Public Health Surveillance and Analytics
    Maryann Inimfon Atakpa, Toyosi O Abolaji Toyosi O Abolaji, Bisola Akeju · 2023 · International Journal of Scientific Research in Computer Science Engineering and Information Technology
  65. A Framework for Embedding Analytics in a Business Process
    Venky Shankararaman, Swapna Gottipati · 2015 · IEEE Conference on Business Informatics
  66. A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique
    Seong Hoon Jeong, Hana Kim, Youngsang Shin, Taejin Lee, Huy Kang Kim · 2015 · 정보보호학회논문지
  67. ANALYSING AUTO ML MODEL FOR CREDIT CARD FRAUD DETECTION
    Vaishali Garg, Sarika Chaudhary, Anil Mishra · 2021 · International Journal of Innovative Research in Computer Science & Technology
  68. Credit card fraud detection using asexual reproduction optimization
    Anahita Farhang Ghahfarokhi, Taha Mansouri, Mohammad Reza Sadeghi Moghadam, Nila Bahrambeik, Ramin Yavari, Mohammadreza Fani Sani · 2021 · Kybernetes
  69. Use of Social Network Analysis for Tax Control in Spain
    Universidad Politécnica de Madrid, Ignacio González García, Alfonso Mateos, Universidad Politécnica de Madrid · 2021 · Revista Hacienda Pública Española
  70. A Novel Approach in Credit Card Fraud Detection System Using Machine Learning Techniques
    G. M. Suhas Jain, Nitin Rakesh, K. Pranavi, Lahari Bale · 2021 · International Conference on Forensics, Analytics, Big Data, Security (FABS)
  71. Detection of False Income Level Claims Using Machine Learning
    Anil Kumar K.M, S Bhargava, R Apoorva, Jemal Abawajy · 2022 · International Journal of Modern Education and Computer Science
  72. Detection of Credit Card Fraud using Machine Learning Algorithms
    Akhilesh Kumar Singh · 2022 · International Conference on System Modeling & Advancement in Research Trends (SMART)
  73. Computational techniques to counter terrorism: a systematic survey
    Jaspal Kaur Saini, Divya Bansal · 2023 · Multimedia Tools and Applications
  74. DIAGNOSING ASSETS IMPAIRMENT BY USING RANDOM FORESTS MODEL
    Ching‐Lung Chen, Chei-Wei Wu · 2012 · International Journal of Information Technology & Decision Making
  75. Simplified MCDM Analytical Weighted Model for Ranking Classifiers in Financial Risk Datasets
    Beulah Jeba Jaya Y., J. Jebamalar Tamilselvi · 2014 · International Conference on Intelligent Computing Applications (ICICA)
  76. IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree
    Chunxia Zhang, Guanwei Wang, Jiangshe Zhang, Gao Guo, Qing-Yan Ying · 2013 · Communications in Statistics - Simulation and Computation
  77. A data mining method for service marketing: A case study of banking industry
    Mohammad Reza Taghva, Seyed Mojtaba Hosseini Bamakan, Samrand Toufani · 2011 · Management Science Letters
  78. A Ensemble Machine Learning Based System for Merchant Credit Risk Detection in Merchant Mcc Misuse
    Chih-Hsiung Su, Fengjun Tu, Xinyu Zhang, Ben‐Chang Shia, Tian‐Shyug Lee · 2021 · Journal of Data Science
  79. Temporal Transformer with Conditional Tabular GAN for Credit Card Fraud Detection: A Sequential Deep Learning Approach
    Jiaying Chen, Yiwen Liang, Jingyi Liu, Mengjie Zhou · 2026 · Mathematics
  80. Dynamic Interval-based Watermarking for Tracking down Network Attacks
    Yu Lian, Lei Zhang, Yuanyuan Zhang, Weiping Wen, Xuetao Du, Fei Cao · 2021 · IEEE International Conference on Software Quality, Reliability and Security (QRS)
  81. Classification of Credit Applicants Using SVM Variants Coupled with Filter-Based Feature Selection
    Siham Akil, Sara Sekkate, Abdellah Adib · 2022 · Lecture notes on data engineering and communications technologies
  82. A Credit Card Fraud Detection Model Based on Multi-Feature Fusion and Generative Adversarial Network
    Yalong Xie, Aiping Li, Biyin Hu, Liqun Gao, Hongkui Tu · 2023 · Computers, materials & continua/Computers, materials & continua (Print)
  83. Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection
    Enxia Li, Jin Ouyang, Sheng Xiang, Lu Qin, Ling Chen · 2024 · Lecture notes in computer science
  84. Enhancing UPI Security through Deep - Learning Based Fraud Detection
    N.R. Sathis Kumar, Kasireddy Hemavathi, G Sivagnansekar, K. Sravani, Thunga Aprna, M. Deepthi · 2025 · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON)
  85. Fraud Detection During Money Transaction and Prevention
    Surbhi Surbhi, Sanjeev Kumar · 2019 · International Conference on Issues and Challenges in Intelligent Computing Techniques
  86. Designing a Locating Scams for Mobile Transaction with the Aid of Operational Activity Analysis in Cloud
    Ramesh Kumar Chandran, S. Rakesh Kumar, N. Gayathri · 2020 · Wireless Personal Communications
  87. Machine Learning Applications for Fraud Detection in Finance Sector
    Pelin Yıldırım Taşer, Fatma Bozyiğit · 2022 · Accounting, finance, sustainability, governance & fraud
  88. An Analysis of the Supervised Learning Approach for Online Fraud Detection
    Dhoma Harshavardhan Reddy · 2022 · Computational Intelligence and Machine Learning
  89. GRU-GAT Model for Blockchain Bitcoin Abnormal Transaction Detection
    Zheng Yang · 2022 · IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
  90. Analysis of Discovering Fraud in Master Card Based on Bidirectional GRU and CNN Based Model
    Sushma Kakkar, B Subha, L. Chandra Sekhar Reddy, Subharun Pal, Sushil Chandra Dimri, Neerav Nishant · 2023 · International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
  91. Credit Card Fraud Detection using Machine Learning
    Dipali Sanjay Khedkar, Prof. Dr. Brijendra Gupta · 2024 · International Journal of Advanced Research in Science Communication and Technology
  92. A Privacy-Preserving Data Architecture Model for Regulated Industry Analytics Under GDPR and HIPAA Compliance
    Maryann Inimfon Atakpa, Toyosi O Abolaji Toyosi O Abolaji · 2022 · International Journal of Scientific Research in Computer Science Engineering and Information Technology
  93. Applying intelligent methods in detecting maritime smuggling
    Chih-Hao Wen, Ping‐Yu Hsu, Ming-Shien Cheng · 2016 · Maritime Economics & Logistics
  94. Selection of optimal credit card fraud detection models using a coefficient sum approach
    Suman Arora, Dharminder Kumar · 2017 · International Conference on Computing, Communication and Automation
  95. An Efficient Method for Detecting Fraudulent Transactions Using Classification Algorithms on an Anonymized Credit Card Data Set
    Sylvester Manlangit, Sami Azam, Bharanidharan Shanmugam, Krishnan Kannoorpatti, Mirjam Jonkman, Arasu Balasubramaniam · 2018 · Advances in intelligent systems and computing
  96. Machine Learning System for Fraud Detection. A Methodological Approach for a Development Platform
    Salma El Hajjami, Jamal Malki, Mohammed Berrada, Harti Mostafa, Alain Bouju · 2021 · Lecture notes in networks and systems
  97. Performance Analysis of Machine Learning Algorithms in Credit Card Fraud Detection
    Anupam Yadav, Vinod Jain, Anuj Kumar · 2020 · Lecture notes in networks and systems
  98. A Principled Two-Step Method for Example-Dependent Cost Binary Classification
    Javier Mediavilla-Relaño, Aitor Gutiérrez-López, Marcelino Lázaro, Aníbal Ramón Figueiras-Vidal · 2019 · Lecture notes in computer science
  99. Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions
    Mohammad Hossein Jarrahi, Amir Karami, Patrick Conway, Ali Memariani, Christoph Lutz · 2025 · Technology in Society
  100. Data-driven financial fraud detection using hybrid artificial and quantum intelligence
    Md. Sobuj Mia, Sujit Roy, Md Amimul Ihsan, Sadek Hossain, Md. Khabir Uddin Ahamed · 2025 · BenchCouncil Transactions on Benchmarks Standards and Evaluations