| Full text | |
| Author(s): |
Cazzolato, Mirela
;
Vijayakumar, Saranya
;
Lee, Meng-Chieh
;
Vajiac, Catalina
;
Park, Namyong
;
Fidalgo, Pedro
;
Traina, Agma J. M.
;
Faloutsos, Christos
Total Authors: 8
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023; v. N/A, p. 7-pg., 2023-01-01. |
| Abstract | |
Given a million-scale dataset of who-calls-whom data containing imperfect labels, how can we detect existing and new fraud patterns? We propose CallMine, with carefully designed features and visualizations. Our CallMine method has the following properties: (a) Scalable, being linear on the input size, handling about 35 million records in around one hour on a stock laptop; (b) Effective, allowing natural interaction with human analysts; (c) Flexible, being applicable in both supervised and unsupervised settings; (d) Automatic, requiring no user-defined parameters. In the real world, in a multi-million-scale dataset, CallMine was able to detect fraudsters 7,000x faster, namely in a matter of hours, while expert humans took over 10 months to detect them. CIKM-ARP Categories: Application; Analytics and machine learning; Data presentation. (AU) | |
| FAPESP's process: | 16/17078-0 - Mining, indexing and visualizing Big Data in clinical decision support systems (MIVisBD) |
| Grantee: | Agma Juci Machado Traina |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 21/11403-5 - Mining multimodal records: explainable patterns and anomalies discovery |
| Grantee: | Mirela Teixeira Cazzolato |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 20/11258-2 - Interoperability and similarity queries on medical databases |
| Grantee: | Mirela Teixeira Cazzolato |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 20/07200-9 - Analyzing complex data from COVID-19 to support decision making and prognosis |
| Grantee: | Agma Juci Machado Traina |
| Support Opportunities: | Regular Research Grants |