Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

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Showing 1 to 4 of 4 for “"Network Data Mining"”.

  1. Intelligent Instability Detection for Islanding Prediction

    … procedures using decision tree and neural network modeling. The islanding in the power system define as a separation of the coherent group of generators from the rest of the system due to contingencies, in the case that all generators are coherent together after introducing a fault, it is …

    vt Repository record for Intelligent Instability Detection for Islanding Prediction (opens in a new tab)

  2. Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback

    … disciplines. With the vital role communication networks play in our daily lives, the security of these networks is imperative for smooth functioning of society. This thesis proposes a novel self-supervised deep learning framework CAAD for anomaly detection in wireless communication systems. …

    vt Repository record for Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback (opens in a new tab)

  3. Attacks on medical data and centralized social platforms: PU learning and graphical inference

    Embargo set by: Seth Robbins for item 121048 Lift date: 2024-01-12T22:35:30Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system

    uiuc Repository record for Attacks on medical data and centralized social platforms: PU learning and graphical inference (opens in a new tab)

  4. Mining heterogeneous information networks

    Real-world physical objects and abstract data entities are interconnected, forming gigantic networks. By structuring these objects and their interactions into multiple types, such networks become semi-structured heterogeneous information networks. Most real-world applications that handle big data, …

    uiuc Repository record for Mining heterogeneous information networks (opens in a new tab)