Search for dissertations about: "a novel algorithm for clustering"

Showing result 1 - 5 of 33 swedish dissertations containing the words a novel algorithm for 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. Textual information retrieval : An approach based on language modeling and neural networks

    Author : Apostolos A. Georgakis; Haibo Li; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Informatics; computer and systems science; Language modeling; Informatik; data- och systemvetenskap; Informatics; computer and systems science; Informatik; data- och systemvetenskap;

    Abstract : This thesis covers topics relevant to information organization and retrieval. The main objective of the work is to provide algorithms that can elevate the recall-precision performance of retrieval tasks in a wide range of applications ranging from document organization and retrieval to web-document pre-fetching and finally clustering of documents based on novel encoding techniques. READ MORE

  5. 3. Clustering Techniques for Mining and Analysis of Evolving Data

    Author : Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Sindri Magnússon; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Clustering analysis; Concept drift; Evolutionary clustering; Machine learning; Streaming data; Computer Science; Datavetenskap;

    Abstract : The amount of data generated is on rise due to increased demand for fields like IoT, smart monitoring applications, etc. Data generated through such systems have many distinct characteristics like continuous data generation, evolutionary, multi-source nature, and heterogeneity. READ MORE

  6. 4. Gossip-based Algorithms for Information Dissemination and Graph Clustering

    Author : Fatemeh Rahimian; Seif Haridi; Eiko Yoneki; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Decentralized algorithms are becoming ever more prevalent in almost all real-world applications that are either data intensive, computation intensive or both. This thesis presents a few decentralized solutions for large-scale (i) data dissemination, (ii) graph partitioning, and (iii) data disambiguation. READ MORE

  7. 5. Phase Doppler Anemometry in Unsteady Two-Phase Flow: A Novel Post-Processing Data Algorithm

    Author : Tobias Bergenblock; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Circulating fluidized bed; Particle groups; Phase Doppler anemometry; Eulerian Lagrangian simulation; Particle flow measurements; Two-phase flow;

    Abstract : This thesis presents a novel method to estimate particle fluctuations in unsteady two-phase flow using phase Doppler anemometry (PDA). A comprehensive derivation and asuccessful validation of a PDA data post-processing algorithm are given. READ MORE