Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-29911-8_45
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4. Balasubramaniam, T., Nayak, R., Yuen, C.: Nonnegative coupled matrix tensor factorization for smart city spatiotemporal pattern mining. In: Nicosia, G., Pardalos, P., Giuffrida, G., Umeton, R., Sciacca, V. (eds.) Machine Learning, Optimization, and Data Science, pp. 520–532. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-13709-0_44
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1. Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization;Social Network Analysis and Mining;2021-06-15
2. Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent;ACM Transactions on Knowledge Discovery from Data;2020-08-31
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