Ming Hua

Affiliations:
  • Facebook Inc., Palo Alto, CA, USA
  • Simon Fraser University, Burnaby, BC, Canada (former)
  • Fudan University, China (former)


According to our database1, Ming Hua authored at least 18 papers between 2005 and 2013.

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Bibliography

2013
Finding email correspondents in online social networks.
World Wide Web, 2013

2012
Clustering in applications with multiple data sources - A mutual subspace clustering approach.
Neurocomputing, 2012

Aggregate queries on probabilistic record linkages.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
Ranking Queries on Uncertain Data
Advances in Database Systems 42, Kluwer, ISBN: 978-1-4419-9379-3, 2011

Ranking queries on uncertain data.
VLDB J., 2011

2010
Probabilistic path queries in road networks: traffic uncertainty aware path selection.
Proceedings of the EDBT 2010, 2010

2009
Top-<i>k</i> typicality queries and efficient query answering methods on large databases.
VLDB J., 2009

Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks.
IEEE Trans. Knowl. Data Eng., 2009

Continuously monitoring top-<i>k</i> uncertain data streams: a probabilistic threshold method.
Distributed Parallel Databases, 2009

2008
A Survey of Utility-based Privacy-Preserving Data Transformation Methods.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Query answering techniques on uncertain and probabilistic data: tutorial summary.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Ranking queries on uncertain data: a probabilistic threshold approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

DiMaC: a system for cleaning disguised missing data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

DiMaC: a disguised missing data cleaning tool.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Efficiently Answering Top-k Typicality Queries on Large Databases.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Cleaning disguised missing data: a heuristic approach.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2005
FMC: An Approach for Privacy Preserving OLAP.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005


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