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Anomaly Detection from Diabetes Similarity Graphs using Community Detection and Bayesian Techniques.

, , , , , and . IMCOM, page 32:1-32:9. ACM, (2018)

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Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables., , , , , , and . CYBCONF, page 101-106. IEEE, (2021)Anomaly Detection from Diabetes Similarity Graphs using Community Detection and Bayesian Techniques., , , , , and . IMCOM, page 32:1-32:9. ACM, (2018)Cluster links prediction for literature based discovery using latent structure and semantic features.. SIGIR, page 1275. ACM, (2014)Impact on Student Learning From Traditional Continuous Assessment and an E-Assessment Proposal., , and . PACIS, page 63. AISeL, (2006)Editorial: Emerging areas in literature-based discovery., and . Frontiers Res. Metrics Anal., (April 2023)A Paradigm Shift: Combined Literature and Ontology-Driven Data Mining for Discovering Novel Relations in Biomedical Domain., , and . ICDM Workshops, page 51-57. IEEE Computer Society, (2009)Learning the heterogeneous bibliographic information network for literature-based discovery., , and . Knowl. Based Syst., (2017)A graph-theoretic approach for the detection of phishing webpages., , , , , and . Comput. Secur., (2020)Understanding the Usability of a Literature-Based Discovery System Among Clinical Researchers in Sarawak, Malaysia., , , , and . Int. J. Technol. Hum. Interact., 18 (1): 1-21 (January 2022)Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach., , , , , and . BMC Medical Informatics Decis. Mak., 23 (1): 9 (December 2023)