Essays about: "e-postmeddelanden"
Showing result 1 - 5 of 11 essays containing the word e-postmeddelanden.
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1. Recognizing and Defending Against Phishing Attacks in Large Organizations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As technology keeps integrating further into our personal and professional lives, digital security is a growing concern for our individual and public safety. Email phishing is the most common attack vector, often utilized by malicious actors to trick victims into taking irresponsible actions that benefit the attackers. READ MORE
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2. Evaluating Random Forest and k-Nearest Neighbour Algorithms on Real-Life Data Sets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computers can be used to classify various types of data, for example to filter email messages, detect computer viruses, detect diseases, etc. This thesis explores two classification algorithms, random forest and k-nearest neighbour, to understand how accurately and how quickly they classify data. READ MORE
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3. Evaluation of the performance of machine learning techniques for email classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. READ MORE
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4. Consumer perception of machine-generated advertisement
University essay fromAbstract : Research in the area of artificial intelligence (AI) in marketing mainly consists of increasing value for retailers or ethical issues related to consumers, in contrast, academic research regarding consumers perception of AI in marketing is vague at best. This research explores the perception of machine-generated advertising campaigns and how these campaigns are experienced by consumers. READ MORE
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5. Categorization of Swedish e-mails using Supervised Machine Learning
University essay from KTH/Hälsoinformatik och logistikAbstract : Society today is becoming more digitalized, and a common way of communication is to send e-mails. Currently, the company Auranest has a filtering method for categorizing e-mails, but the method is a few years old. The filter provides a classification of valuable e-mails for jobseekers, where employers can make contact. READ MORE