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Showing 1 to 3 of 3 for “"Social network mining"”.

  1. Pattern extraction and clustering for high-dimensional discrete data

    … factorizations with interesting problems in data mining and machine learning. We propose a framework for solving several low-rank matrix factorization problems, including binary matrix factorization, constrained binary matrix factorization, weighted constrained binary matrix factorization, densest …

    uiuc Repository record for Pattern extraction and clustering for high-dimensional discrete data (opens in a new tab)

  2. Social analytics for health integration, intelligence, and monitoring

    Nowadays, patient-generated social health data are abundant and Healthcare is changing from the authoritative provider-centric model to collaborative and patient-oriented care. The aim of this dissertation is to provide a Social Health Analytics framework to utilize social data to solve the …

    njit Repository record for Social analytics for health integration, intelligence, and monitoring (opens in a new tab)

  3. Network Sampling through Crawling

    … extremely important. We consider the problem of network sampling through crawling, in which the data collectors have no knowledge of the network of interest except the identity of a starting node. The data collector can expand the observed sample by querying an observed node. While the network

    syracuse-diss Repository record for Network Sampling through Crawling (opens in a new tab)