中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance

文献类型:期刊论文

作者Abhijit Guha2,3; Debabrata Samanta1
刊名International Journal of Automation and Computing
出版日期2021
卷号18期号:1页码:55-72
关键词Anomaly detection title insurance autoencoder one-class support vector machine (OSVM) term frequency – inverse document frequency (TF-IDF) robotic process automation dimensionality reduction
ISSN号1476-8186
DOI10.1007/s11633-020-1247-y
英文摘要Anomaly 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.
源URL[http://ir.ia.ac.cn/handle/173211/42454]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Computer Science Department, CHRIST (Deemed to be University), Bangalore 560029, India
2.First American India Private Ltd., Bangalore 560038, India
3.Data Science Department, CHRIST (Deemed to be University), Bangalore 560029, India
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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.

入库方式: OAI收割

来源:自动化研究所

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