The cluster is developing and maintaining a ‘data warehouse’, containing a variety of micro data sets on financial and operational information of firms and workers, scanner data of products, high frequency stock market data, etc.. In addition, the cluster develops and applies machine learning methods and algorithms to explore, describe, visualize and synthesize complex relationships commonly observed in a variety of problems in the various subject fields in the school.
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