Search for dissertations about: "clustering"

Showing result 1 - 5 of 585 swedish dissertations containing the word clustering.

2. 1. Data Stream Mining and Analysis : Clustering Evolving Data

   Author : Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

   Abstract : 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. READ MORE

4. 2. Clustering in Swedish : The Impact of some Properties of the Swedish Language on Document Clustering and an Evaluation Method

   Author : Magnus Rosell; Viggo Kann; Björn Levin; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Document Clustering; Language technology; Språkteknologi;

   Abstract : Text clustering divides a set of texts into groups, so that texts within each group 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 known ones. READ MORE

5. 3. Text Clustering Exploration : Swedish Text Representation and Clustering Results Unraveled

   Author : Magnus Rosell; Viggo Kann; Tapio Salakoski; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Informatics; computer and systems science; Informatik; data- och systemvetenskap;

   Abstract : 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. READ MORE

6. 4. Incremental Clustering of Source Code : a Machine Learning Approach

   Author : Tobias Olsson; Morgan Ericsson; Sebastian Herold; Linnéuniversitetet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Naive Bayes; Source Code Clustering; Incremental Clustering; Software Architecture; Technical Debt; Computer Science; Datavetenskap;

   Abstract : Technical debt at the architectural level is a severe threat to software development projects. Uncontrolled technical debt that is allowed to accumulate will undoubtedly hinder speedy development and maintenance, introduce bugs and problems in the software product, and may ultimately result in the abandonment of the source code. READ MORE

7. 5. Deep learning for news topic identification in limited supervision and unsupervised settings

   Author : Arezoo Hatefi; Frank Drewes; Johanna Björklund; Xuan-Son Vu; Eric Gaussier; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Topic Identification; Data Clustering; News Stream Clustering; Semi-Supervised Learning; Unsupervised Learning; Event Topics; News Stories; Multimodal News; Document Classification; Document Clustering; Deep Learning; Deep Clustering; Pre-trained Language Models;

   Abstract : In today's world, following news is crucial for decision-making and staying informed. With the growing volume of daily news, automated processing is essential for timely insights and in aiding individuals and corporations in navigating the complexities of the information society. READ MORE