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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Insurance Data Analysis with COGNITO: An Auto Analysing and Storytelling Python Library Subject The topic of the resource auto-analysis; automation; encoding; Feature engineering; NLP; pre-processing; problem solving; storytelling Description An account of the resource Data pre-processing has taken an enhanced role with the advent of Machine learning. It is a vital element that forms the encore of the data science and business analytics process. Data pre-processing involves generating descriptive statistical summary, data cleaning, and data manipulation based on inputs gained after the initial analysis. Of late, it has been observed that data science practitioners spend 45% to 50% of their time cleaning and processing the data. Much time can be saved if the data transformation process can be automated. The COGNITO framework helps in performing the automated feature engineering and data storytelling of the dataset based on end-user discretion. The present work discusses the process and results obtained when automated feature engineering was performed on an insurance dataset using COGNITO. 2021 IEEE. Creator An entity primarily responsible for making the resource Saxena A.; Bhagat V.V.; Robins B. Source A related resource from which the described resource is derived 2021 International Conference on Intelligent Technologies, CONIT 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/CONIT51480.2021.9498523" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT51480.2021.9498523</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114889720&amp;doi=10.1109%2FCONIT51480.2021.9498523&amp;partnerID=40&amp;md5=103312d41cb022a71288e7a360e6bfa9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114889720&amp;doi=10.1109%2fCONIT51480.2021.9498523&amp;partnerID=40&amp;md5=103312d41cb022a71288e7a360e6bfa9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818583-5 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saxena A., Christ University, Management Studies, Bangalore, India; Bhagat V.V., Christ University, Data Science, Bangalore, India; Robins B., Data Science Cleverinsight Inc., Bangalore, India