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    Browsing by Author "Fahy, Conor"

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      • Ant colony stream clustering: A fast density clustering algorithm for dynamic data streams 

        Fahy, Conor; Yang, Shengxiang; Gongora, Mario Augusto (Article)
        A data stream is a continuously arriving sequence of data and clustering data streams requires additional considerations to traditional clustering. A stream is potentially unbounded, data points arrive on-line and each ...
      • A comparitive analysis of ranking methods in a hybrid filter-wrapper model for feature selection in DNA microarrays 

        Fahy, Conor; Ahmadi, Samad; Casey, Arlene (Conference)
      • Dynamic based stream clustering using ants 

        Fahy, Conor; Yang, Shengxiang (Conference)
        Data stream mining is the process of extracting knowledge from continuous sequences of data. It differs from conventional data mining in that a stream is potentially unbounded, data points arrive online and each data point ...
      • Dynamic feature selection for clustering high dimensional data streams 

        Fahy, Conor; Yang, Shengxiang (Article)
        Change in a data stream can occur at the concept level and at the feature level. Change at the feature level can occur if new, additional features appear in the stream or if the importance and relevance of a feature changes ...
      • Finding and tracking multi-density clusters in an online dynamic data stream 

        Fahy, Conor; Yang, Shengxiang (Article)
        Change is one of the biggest challenges in dynamic stream mining. From a data-mining perspective, adapting and tracking change is desirable in order to understand how and why change has occurred. Clustering, a form of ...
      • Finding multi-density clusters in non-stationary data streams using an ant colony with adaptive parameters 

        Fahy, Conor; Yang, Shengxiang; Gongora, Mario Augusto (Conference)
        Density based methods have been shown to be an effective approach for clustering non-stationary data streams. The number of clusters does not need to be known a priori and density methods are robust to noise and changes ...
      • Learning in Dynamic Data-Streams with a Scarcity of Labels 

        Fahy, Conor (Thesis or dissertation / Doctoral / PhD)
        Analysing data in real-time is a natural and necessary progression from traditional data mining. However, real-time analysis presents additional challenges to batch-analysis; along with strict time and memory constraints, ...
      • A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations 

        Fahy, Conor; Caraffini, Fabio; Gongora, Mario Augusto (Conference)
        Lethal Wilt (Marchitez Letal) is a disease which affects Elaeis Guineensis, a plant used in the production of palm oil. The disease is increasingly common but the spatial dynamics of the infection spread remain poorly ...

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