Essays about: "Classification of Customers"
Showing result 31 - 35 of 99 essays containing the words Classification of Customers.
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31. 3D Representation of EyeTracking Data : An Implementation in Automotive Perceived Quality Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The importance of perceived quality within the automotive industry has been rapidly increasing these years. Since judgmentsconcerning perceived quality is a highly subjective process, eye-tracking technology is one of the best approaches to extractcustomers’ subconscious visual activity during interaction with the product. READ MORE
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32. Facilitating Sustainable Investments - How the EU Taxonomy is expected to change the principal-agent relationship between fund managers and retail customers
University essay fromAbstract : There is currently an information asymmetry on the financial market, which has implications for the practice of greenwashing, hindering the capital allocation towards the Sustainable Development Goals. To fill this information gap, the EU Commission initiated the development of an EU Taxonomy - a standardized classification system to facilitate sustainable investments. READ MORE
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33. Adaptive Anomaly Detection for Large IoT Datasets with Machine Learning and Transfer Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : As more IoT devices enter the market it becomes increasingly important to develop reliable and adaptive ways of dealing with the data they generate. These must address data quality and reliability. READ MORE
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34. Churn prediction using time series data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Customer churn is problematic for any business trying to expand their customer base. The acquisition of new customers to replace churned ones are associated with additional costs, whereas taking measures to retain existing customers may prove more cost efficient. READ MORE
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35. DevOps for Data Science System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Commercialization potential is important to data science. Whether the problems encountered by data science in production can be solved determines the success or failure of the commercialization of data science. Recent research shows that DevOps theory is a great approach to solve the problems that software engineering encounters in production. READ MORE