Effective fraud detection in e-commerce: Leveraging machine learning and big data analytics

被引：0
|
作者：
Byrapu Reddy, Surendranadha Reddy [1 ]
Kanagala, Praneeth [2 ]
Ravichandran, Prabu [3 ]
Pulimamidi, Dr Rahul [4 ]
Sivarambabu, P.V. [5 ]
Polireddi, Naga Simhadri Apparao [6 ]
机构：
[1] Analyst Information Technology Northeastern University Lincoln Financial Group Atlanta, GA, United States
[2] Information Technology, University of the Cumberlands, Williamsburg,KY, United States
[3] Data Architect, AWS, Amazon, Raleigh,NC, United States
[4] UI Architect/Software Developer, Laboratory Corporation of America Holdings, Durham,NC, United States
[5] Department of CSE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, Guntur, United States
[6] Senior Software Engineer IKON Tech Services LLC Phoenix, AZ, United States
来源：
Measurement: Sensors | 2024年 / 33卷
关键词：
All Open Access; Gold;
D O I：
10.1016/j.measen.2024.101138
中图分类号：
学科分类号：
摘要：
19
引用
收藏
相关论文
共 50 条
  • [31] Big Data Real-Time Clickstream Data Ingestion Paradigm for E-Commerce Analytics
    Pal, Gautam
    Li, Gangmin
    Atkinson, Katie
    2018 4TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2018,
  • [32] E-Commerce Fraud Detection Model by Computer Artificial Intelligence Data Mining
    Li, JiaoLong
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [33] RETRACTED: Big Data Analytics in E-Commerce User Interest Patterns (Retracted Article)
    Amarnadh, V
    Akhila, M.
    INTERNATIONAL CONFERENCE ON COMPUTER VISION AND MACHINE LEARNING, 2019, 1228
  • [34] Evolving Analytics for E-commerce Applications Utilizing Big Data and Social Media Extensions
    Aivalis, Constantine J.
    Gatziolis, Kloanthis
    Boucouvalas, Anthony C.
    2016 INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND MULTIMEDIA (TEMU), 2016, : 188 - 193
  • [35] Intelligent e-commerce framework for consumer behavior analysis using big data Analytics
    Lv, Hua
    ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2022, 14 (03N04)
  • [36] The product quality risk assessment of e-commerce by machine learning algorithm on spark in big data environment
    Liu, Yi
    Lu, Jiahuan
    Mao, Feng
    Tong, Kaidi
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (04) : 4705 - 4715
  • [37] Improved Fraud Detection in Banking Systems through Machine Learning and Big Data Analytics with Management Key Components
    Balaji, Kalaivani
    Saxena, Niti
    Behera, Nihar Ranjan
    Kumar, Kiran M.
    Prasad, H. K.
    Gedamkar, Pallavi Rahul
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [38] Big Data Impact in Development E-Commerce
    Sutisnawati, Y.
    Maulani, W. K.
    2ND INTERNATIONAL CONFERENCE ON INFORMATICS, ENGINEERING, SCIENCE, AND TECHNOLOGY (INCITEST 2019), 2019, 662
  • [39] BIG DATA DRIVEN E-COMMERCE MARKETING
    Pabedinskaite, Arnoldina
    Davidaviciene, Vida
    Milisauskas, Paulius
    8TH INTERNATIONAL SCIENTIFIC CONFERENCE BUSINESS AND MANAGEMENT 2014, 2014, : 645 - 654
  • [40] Machine learning for big data analytics
    Oja, E. (erkki.oja@aalto.fi), 1600, Springer Verlag (384):
12345