A Statistical µ-Partitioning Method for Clustering Data Streams. - Nam Hun Park; Won Suk Lee (ISCIS, 2003)

Statistical sigma-Partition Clustering over Data Streams. - Nam Hun Park; Won Suk Lee (PKDD, 2003)

Statistical grid-based clustering over data streams. - Nam Hun Park; Won Suk Lee (SIGMOD Rec., 2004)

Hardware/software codesign of TDMA MAC applied to IEEE 802.16 subscriber station. - Nak Woon Sung; Nam Hun Park (PIMRC, 2005)

Grid-based subspace clustering over data streams. - Nam Hun Park; Won Suk Lee (CIKM, 2007)

Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams. - Nam Hun Park; Won Suk Lee (PAKDD, 2007)

Cell trees: An adaptive synopsis structure for clustering multi-dimensional on-line data streams. - Nam Hun Park; Won Suk Lee (Data Knowl. Eng., 2007)

Memory efficient subspace clustering for online data streams. - Nam Hun Park; Won Suk Lee (IDEAS, 2008)

Efficiently tracing clusters over high-dimensional on-line data streams. - Jae Woo Lee; Nam Hun Park; Won Suk Lee (Data Knowl. Eng., 2009)

Supporting Multi-criteria Decision Support Queries over Time-Interval Data Streams. - Nam Hun Park; Venkatesh Raghavan; Elke A. Rundensteiner (DEXA (1), 2010)

Anomaly intrusion detection by clustering transactional audit streams in a host computer. - Nam Hun Park; Sang Hyun Oh; Won Suk Lee (Inf. Sci., 2010)

An Adaptive Query Optimization in a Hierarchical Mediator System. - Nam Hun Park; Kil Hong Joo (FGIT-FGCN (1), 2011)

A Novel Weighting Technique for Mining Sequence Data Streams. - Joong Hyuk Chang; Nam Hun Park (ICITCS, 2012)

Comparative analysis of sequence weighting approaches for mining time-interval weighted sequential patterns. - Joong Hyuk Chang; Nam Hun Park (Expert Syst. Appl., 2012)

Finding Interesting Sequential Patterns in Sequence Data Streams via a Time-Interval Weighting Approach. - Joong Hyuk Chang; Nam Hun Park (IEICE Trans. Inf. Syst., 2013)

Teaching and Learning Model for Artificial Intelligence Education. - Kil Hong Joo; Nam Hun Park (CENTERIS/ProjMAN/HCist, 2023)