Sökning: "Clustering"

Visar resultat 1 - 5 av 564 avhandlingar innehållade ordet Clustering.

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

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

   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

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

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

   Sammanfattning : 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. LÄS MER

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

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

   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

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

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

   Sammanfattning : 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. LÄS MER

7. 5. Enhancing Short-Term Traffic Prediction for Large-Scale Transport Networks by Spatio-Temporal Clustering

   Författare :Matej Cebecauer; Erik Jenelius; Wilco Burghout; Francisco Camara Pereira; KTH; []
   Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; short-term prediction; clustering; spatio-temporal clustering; day-types; speed-flow relationship; large-scale; Transportsystem; Transport Systems;

   Sammanfattning : Congestion in large cities is responsible for extra travel time, noise, air pollution, CO2 emissions, and more. Transport is one of the main recognized contributors to global warming and climate change, which is getting increasing attention from authorities and societies around the world. LÄS MER