Nam Hun Park

According to our database1, Nam Hun Park authored at least 15 papers between 2003 and 2013.

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Bibliography

2013
Finding Interesting Sequential Patterns in Sequence Data Streams via a Time-Interval Weighting Approach.
IEICE Trans. Inf. Syst., 2013

2012
Comparative analysis of sequence weighting approaches for mining time-interval weighted sequential patterns.
Expert Syst. Appl., 2012

A Novel Weighting Technique for Mining Sequence Data Streams.
Proceedings of the International Conference on IT Convergence and Security, 2012

2011
An Adaptive Query Optimization in a Hierarchical Mediator System.
Proceedings of the Communication and Networking, 2011

2010
Anomaly intrusion detection by clustering transactional audit streams in a host computer.
Inf. Sci., 2010

Supporting Multi-criteria Decision Support Queries over Time-Interval Data Streams.
Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

2009
Efficiently tracing clusters over high-dimensional on-line data streams.
Data Knowl. Eng., 2009

2008
Memory efficient subspace clustering for online data streams.
Proceedings of the 12th International Database Engineering and Applications Symposium (IDEAS 2008), 2008

2007
Cell trees: An adaptive synopsis structure for clustering multi-dimensional on-line data streams.
Data Knowl. Eng., 2007

Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Grid-based subspace clustering over data streams.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2005
Hardware/software codesign of TDMA MAC applied to IEEE 802.16 subscriber station.
Proceedings of the IEEE 16th International Symposium on Personal, 2005

2004
Statistical grid-based clustering over data streams.
SIGMOD Rec., 2004

2003
Statistical sigma-Partition Clustering over Data Streams.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

A Statistical µ-Partitioning Method for Clustering Data Streams.
Proceedings of the Computer and Information Sciences, 2003


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