Sökning: "Incremental Clustering"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Incremental Clustering.

  1. 1. Incremental Clustering of Source Code : a Machine Learning Approach

    Författare :Tobias Olsson; Morgan Ericsson; Sebastian Herold; Linnéuniversitetet; []
    Nyckelord :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

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

    Författare :Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
    Nyckelord :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. 3. Incremental conceptual clustering in an on-line application

    Författare :Fredrik Kilander; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Artificiell intelligens;

    Sammanfattning : .... LÄS MER

  4. 4. Adaptive Real-time Anomaly Detection for Safeguarding Critical Networks

    Författare :Kalle Ring Burbeck; Simin Nadjm-Tehrani; Erland Jonsson; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; intrusion detection; anomaly detection; real-time; clustering; adaptation; IP networks; Computer science; Datalogi;

    Sammanfattning : Critical networks require defence in depth incorporating many different security technologies including intrusion detection. One important intrusion detection approach is called anomaly detection where normal (good) behaviour of users of the protected system is modelled, often using machine learning or data mining techniques. LÄS MER

  5. 5. Hyperspectral Image Generation, Processing and Analysis

    Författare :Hamed Hamid Muhammed; Ewert Bengtsson; Tommy Lindell; Erkki Oja; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bildanalys; hyperspectral imaging; colour filter mosaics; remote sensing; crop reflectance; surface water quality; disease severity; plant density; linear system of equations; waste water detection; chlorophyll a; suspended paticulate matter; weighted fixed neural networks; weighted incremental neural networks; camera spectrometer; Bildanalys; Image analysis; Bildanalys;

    Sammanfattning : Hyperspectral reflectance data are utilised in many applications, where measured data are processed and converted into physical, chemical and/or biological properties of the target objects and/or processes being studied. It has been proven that crop reflectance data can be used to detect, characterise and quantify disease severity and plant density. LÄS MER