Sökning: "HDBSCAN"
Visar resultat 6 - 10 av 17 uppsatser innehållade ordet HDBSCAN.
6. Predictive maintenance using NLP and clustering support messages
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Communication with customers is a major part of customer experience as well as a great source of data mining. More businesses are engaging with consumers via text messages. Before 2020, 39% of businesses already use some form of text messaging to communicate with their consumers. Many more were expected to adopt the technology after 2020[1]. LÄS MER
7. Identifying Machine States and Sensor Properties for a Digital Machine Template : Automatically recognize states in a machine using multivariate time series cluster analysis
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : Digital twins have become a large part of new cyber-physical systems as they allow for the simulation of a physical object in the digital world. In addition to the new approaches of digital twins, machines have become more intelligent, allowing them to produce more data than ever before. LÄS MER
8. Mining geosocial data from Flickr to explore tourism patterns: The case study of Athens
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Kanari Domna Mining geosocial data from Flickr to explore tourism patterns: The case study of Athens Social media are providing a new type of geo-tagged data that by processing them, new types of knowledge can be generated and used by decision-makers in different areas including tourism. It includes e.g. LÄS MER
9. Clustering and Summarization of Chat Dialogues : To understand a company’s customer base
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : The Customer Success department at Visma handles about 200 000 customer chats each year, the chat dialogues are stored and contain both questions and answers. In order to get an idea of what customers ask about, the Customer Success department has to read a random sample of the chat dialogues manually. LÄS MER
10. Automated error matching system using machine learning and data clustering : Evaluating unsupervised learning methods for categorizing error types, capturing bugs, and detecting outliers.
Master-uppsats, Linköpings universitet/Programvara och systemSammanfattning : For large and complex software systems, it is a time-consuming process to manually inspect error logs produced from the test suites of such systems. Whether it is for identifyingabnormal faults, or finding bugs; it is a process that limits development progress, and requires experience. LÄS MER