Essays about: "User behavior classification"
Showing result 1 - 5 of 10 essays containing the words User behavior classification.
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1. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. READ MORE
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2. Comparison of Distance Metrics for Trace Clustering in Process Mining : An Effort to Simplify Analysis of Usage Patterns in PACS
University essay from Linköpings universitet/Programvara och systemAbstract : This study intended to validate if clustering could be used to simplify models generated with process mining. The intention was also to see if these clusters could suggest anything about user efficiency. To that end a new metric where devised, average mean duration deviation. READ MORE
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3. Behavior reflects preference : Mitigating the user cold-start in recommender systems with user telemetry data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recommender Systems are information filtering systems that aim to predict a user’s preference for an item. A central challenge when building a Recommender System is the user cold-start, the integration of new users into the recommendation process. READ MORE
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4. Churn Prediction : Predicting User Churn for a Subscription-based Service using Statistical Analysis and Machine Learning Models
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Subscription-based services are becoming more popular in today’s society. Therefore, any company that engages in the subscription-based business needs to understand the user behavior and minimize the number of users canceling their subscription, i.e. minimize churn. READ MORE
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5. Machine Learning Based Modulation and Coding Scheme Selection
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In wireless communication, resources like bandwidth and energy are scarce and extremely valuable, any system should serve as many users as possible while preserving high Quality of Service (QoS) for the best user experience. Accordingly, the Base Station (BS) has the responsibility to optimally schedule its resources to the users based on the available information. READ MORE