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Topic subject creation using unsupervised learning for topic modeling
We describe the use of Non-Negative Matrix Factorization (NMF) and Latent Dirichlet Allocation (LDA) algorithms to perform topic mining and labelling applied to retail customer communications in attempt to characterize the subject of customers inquiries.
Real-time Top-K Predictive Query Processing over Event Streams
We overcome these limitations by proposing a novel event precedence model and a run-time causal inference mechanism.
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