Titlebook: Big Data Analytics and Knowledge Discovery; 18th International C Sanjay Madria,Takahiro Hara Conference proceedings 2016 Springer Internati

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Corpus-Based Study of Translational Norms,are not necessarily independent. In fact, the experimental results show the superiority of our algorithm over state-of-the-art frequent itemset mining algorithms in data streams if high F-measure and short processing time per transaction are crucial requirements at the same time.

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Introducing Corpus-based Translation Studiesstrength. Finally, the location list for POI recommendation will be constructed accordingly. Experimental results show that the proposed method significantly outperforms the competitor on both precision and recall.

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,Demand and Supply — a Brief Overview,omes a specific heterogeneity (e.g., a sensor-specific heterogeneity). Experimental evaluation on Electromyography (EMG) sensor dataset with heterogeneities shows that our method performs favourably compared to other time series clustering approaches.