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Data Mining and Management

Finding patterns and insights in data


Our work in this area focuses on solving key problems in database architecture and information management. Our current areas of focus are infrastructure for large-scale database systems; reducing the total cost of ownership of information management; enabling flexible ways to query, browse, and organize rich data sets containing both structured and unstructured data; and the management of database schemas and mappings.

 

Publications

Jianpeng Cheng, Zhongyuan Wang, Ji-Rong Wen, Jun Yan, and Zheng Chen, Contextual Text Understanding in Distributional Semantic Space, in ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, October 2015.

Zhongyuan Wang, Haixun Wang, Ji-Rong Wen, and Yanghua Xiao, An Inference Approach to Basic Level of Categorization, in ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, October 2015.

Yu Zheng, Trajectory Data Mining: An Overview, in ACM Transaction on Intelligent Systems and Technology, ACM – Association for Computing Machinery, September 2015.

Yu Zheng and Senior Member, Methodologies for Cross-Domain Data Fusion: An Overview, in IEEE Transactions on Big Data, IEEE – Institute of Electrical and Electronics Engineers, September 2015.

More publications...