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LSOMP: Large Scale Ordinance Mining Portal

2020 IEEE International Conference on Big Data (Big Data), 2020
We propose a novel scalable Web portal called LSOMP (Large Scale Ordinance Mining Portal) to analyze ordinances and their tweets (of the order of thousands and millions). It entails commonsense knowledge (CSK) and natural language processing (NLP), disseminating ordinance-tweet mining results via interactive graphics and Question Answering (QA).
Xu Du   +3 more
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Sparse Computation for Large-Scale Data Mining

IEEE Transactions on Big Data, 2014
Leading machine learning techniques rely on inputs in the form of pairwise similarities between objects in the data set. The number of pairwise similarities grows quadratically in the size of the data set which poses a challenge in terms of scalability.
Dorit S. Hochbaum, Philipp Baumann
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