Xingzhi Sun

Affiliations:
  • IBM China Research Lab, China
  • University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia (PhD 2005)


According to our database1, Xingzhi Sun authored at least 26 papers between 2003 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2014
Privacy Preservation for Associative Classification.
Comput. Intell., 2014

2013
A Novel Approach to Generating CER Hypotheses based on Mining Clinical Data.
Proceedings of the MEDINFO 2013, 2013

On the challenges of balancing privacy and utility of open health data.
Proceedings of the Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities, 2013

2011
Bootstrapping Object Coreferencing on the Semantic Web.
J. Comput. Sci. Technol., 2011

Associative classification rules hiding for privacy preservation.
Int. J. Intell. Inf. Database Syst., 2011

Incremental Reasoning over Multiple Ontologies.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011

Image modality classification: a late fusion method based on confidence indicator and closeness matrix.
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Ontology-based Knowledge Management for Personalized Adverse Drug Events Detection.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

2009
SMDM: Enhancing Enterprise-Wide Master Data Management Using Semantic Web Technologies.
Proc. VLDB Endow., 2009

Semantic Enhancement for Enterprise Data Management.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

2008
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases.
Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

A Heuristic Data Reduction Approach for Associative Classification Rule Hiding.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Data Quality in Privacy Preservation for Associative Classification.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

Data Reduction Approach for Sensitive Association Classification Rule Hiding.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008

2007
Hiding Sensitive Frequent Itemsets by a Border-Based Approach.
J. Comput. Sci. Eng., 2007

Discovering Correlated Items in Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Efficient Semantically Equal Join on Strings.
Proceedings of the Advances in Databases: Concepts, 2007

Hiding Sensitive Associative Classification Rule by Data Reduction.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006
Can exclusive clustering on streaming data be achieved?
SIGKDD Explor., 2006

2005
Knowledge discovery in long temporal event sequences
PhD thesis, 2005

Finding Temporal Features of Event-Oriented Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Border-Based Approach for Hiding Sensitive Frequent Itemsets.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Finding Negative Event-Oriented Patterns in Long Temporal Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2003
Finding Event-Oriented Patterns in Long Temporal Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003


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