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 ... -
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 ... -
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, ...