Sökning: "Data Clustering"
Visar resultat 1 - 5 av 345 avhandlingar innehållade orden Data Clustering.
1. Data Stream Mining and Analysis : Clustering Evolving Data
Sammanfattning : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. LÄS MER
2. Parallel Data Streaming Analytics in the Context of Internet of Things
Sammanfattning : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. LÄS MER
3. Text Clustering Exploration : Swedish Text Representation and Clustering Results Unraveled
Sammanfattning : Text clustering divides a set of texts into clusters (parts), so that texts within each cluster are similar in content. It may be used to uncover the structure and content of unknown text sets as well as to give new perspectives on familiar ones. LÄS MER
4. Mining Evolving and Heterogeneous Data : Cluster-based Analysis Techniques
Sammanfattning : A large amount of data is generated from fields like IoT, smart monitoring applications, etc., raising demand for suitable data analysis and mining techniques. LÄS MER
5. Everyday mining : Exploring sequences in event-based data
Sammanfattning : Event-based data are encountered daily in many disciplines and are used for various purposes. They are collections of ordered sequences of events where each event has a start time and a duration. LÄS MER