CASIA OpenIR  > 学术期刊  > International Journal of Automation and Computing
Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance
Abhijit Guha1,2; Debabrata Samanta3
Source PublicationInternational Journal of Automation and Computing
ISSN1476-8186
2021
Volume18Issue:1Pages:55-72
AbstractAnomaly detection (AD) is an important aspect of various domains and title insurance (TI) is no exception. Robotic process automation (RPA) is taking over manual tasks in TI business processes, but it has its limitations without the support of artificial intelligence (AI) and machine learning (ML). With increasing data dimensionality and in composite population scenarios, the complexity of detecting anomalies increases and AD in automated document management systems (ADMS) is the least explored domain. Deep learning, being the fastest maturing technology can be combined along with traditional anomaly detectors to facilitate and improve the RPAs in TI. We present a hybrid model for AD, using autoencoders (AE) and a one-class support vector machine (OSVM). In the present study, OSVM receives input features representing real-time documents from the TI business, orchestrated and with dimensions reduced by AE. The results obtained from multiple experiments are comparable with traditional methods and within a business acceptable range, regarding accuracy and performance.
KeywordAnomaly detection title insurance autoencoder one-class support vector machine (OSVM) term frequency – inverse document frequency (TF-IDF) robotic process automation dimensionality reduction
DOI10.1007/s11633-020-1247-y
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/42454
Collection学术期刊_International Journal of Automation and Computing
Affiliation1.Data Science Department, CHRIST (Deemed to be University), Bangalore 560029, India
2.First American India Private Ltd., Bangalore 560038, India
3.Computer Science Department, CHRIST (Deemed to be University), Bangalore 560029, India
Recommended Citation
GB/T 7714
Abhijit Guha,Debabrata Samanta. Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance[J]. International Journal of Automation and Computing,2021,18(1):55-72.
APA Abhijit Guha,&Debabrata Samanta.(2021).Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance.International Journal of Automation and Computing,18(1),55-72.
MLA Abhijit Guha,et al."Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance".International Journal of Automation and Computing 18.1(2021):55-72.
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