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Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods.

, , , and . WWW, page 3093-3100. ACM, (2019)

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Data Mining and XML Documents., , and . International Conference on Internet Computing, page 660-666. CSREA Press, (2002)Data Mining in Conceptualising Active Ageing., , and . AusDM, volume 61 of CRPIT, page 39-45. Australian Computer Society, (2006)Data Mining For Lifetime Prediction of Metallic Components., , , and . AusDM, volume 61 of CRPIT, page 75-81. Australian Computer Society, (2006)Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization., , and . CoRR, (2020)A Web data extraction approach to harvesting data from online sources., and . AMT, volume 138 of Frontiers in Artificial Intelligence and Applications, page 323-326. IOS Press, (2006)A Recommendation Method for Online Dating Networks Based on Social Relations and Demographic Information., , and . ASONAM, page 407-411. IEEE Computer Society, (2011)Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining., , and . PRICAI (2), volume 11671 of Lecture Notes in Computer Science, page 582-594. Springer, (2019)Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization., , and . ICDM Workshops, page 1497-1498. IEEE, (2018)How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model., and . WSDM, page 23-32. ACM, (2016)BOSTER: An Efficient Algorithm for Mining Frequent Unordered Induced Subtrees., and . WISE (1), volume 8786 of Lecture Notes in Computer Science, page 146-155. Springer, (2014)