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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Uddin, Syed Hameed; Maaz, Mugaerah Ahmed Shareef; Gupta, Himanshu; Panicker, Arya Jinan; Upadhyay, Darshan; Khunti, Shravan; Upreti, Kamal Title A name given to the resource Optimizing Phishing Email Classification Through Scalable Feature Extraction Using MapReduce Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1233 LNNS;pp.101-116 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-3287-9_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3287-9_9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011685840?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011685840?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Uddin S.H., Department of Information Technology, LIET, Osmania University, Hyderabad, India; Maaz M.A.S., Department of Computer Science and Engineering (AI &amp; Ml), LIET, Osmania University, Hyderabad, India; Gupta H., Software Engineer, Meta, NJ, United States; Panicker A.J., Department of Computer Science and Engineering, APJ Abdul Kalam Technological University, Kerala, Thiruvananthapuram, India; Upadhyay D., MS Business Analytics and Information Management, Purdue University, West Lafayette, IN, United States; Khunti S., Center for Data Science, New York University, New York, United States; Upreti K., Department of Computer Science, CHRIST (Deemed to Be University), Uttar Pradesh, Ghaziabad, India Description An account of the resource A bag of features (BOF) may be made using either map reduction techniques or a combination of a thesaurus and domain knowledge. This research presents the BOFMR (Bag of Features using MapReduce) and BOFWT (Bag of Features with Weighted Terms) algorithms, a scalable and efficient technique for processing large email datasets and generating feature vectors based on pre-defined characteristics. The outcomes from using both BOFs on identical datasets are compared. The algorithm leverages the parallel processing capabilities of the MapReduce framework to handle the extensive data, ensuring performance and scalability. When creating a bag of words from a training dataset, the BOFMR technique is useful. The map-reduce technique will help to create a bag of features faster even in case of a larger chunk of data. In this experiment, as data size was limited, the performance of map reduce was not measured. In another BOFWT approach, the building of BOF with domain knowledge by using the word thesaurus was a challenge. The experimental result shows that the results of BOFWT are nearer to the output of BOFMR, and both algorithms show the highest accuracy among other methods. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Email classification MapReduce; Machine learning; NLP; Phishing detection Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981963286-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online