Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance Subject The topic of the resource Anomaly detection; autoencoder; dimensionality reduction; one-class support vector machine (OSVM); robotic process automation; term frequency inverse document frequency (TF-IDF); title insurance Description An account of the resource 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. 2020, Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature. Creator An entity primarily responsible for making the resource Guha A.; Samanta D. Source A related resource from which the described resource is derived International Journal of Automation and Computing, Vol-18, No. 1, pp. 55-72. Publisher An entity responsible for making the resource available Chinese Academy of Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11633-020-1247-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11633-020-1247-y</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093934216&amp;doi=10.1007%2Fs11633-020-1247-y&amp;partnerID=40&amp;md5=b009f554dda633bda693e9166492d2e4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093934216&amp;doi=10.1007%2fs11633-020-1247-y&amp;partnerID=40&amp;md5=b009f554dda633bda693e9166492d2e4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14768186 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Guha A., Data Science Department, CHRIST (Deemed to be University), Bangalore, 560029, India, First American India Private Ltd., Bangalore, 560038, India; Samanta D., Computer Science Department, CHRIST (Deemed to be University), Bangalore, 560029, India