An Efficient Approach for Mining Frequent Sub-graphs with Support Affinities. - Gangin Lee; Unil Yun (ICHIT (1), 2012)

Efficient Opinion Article Retrieval System. - Unil Yun; Heungmo Ryang; Gwangbum Pyun; Gangin Lee (ICHIT (1), 2012)

Efficient Isomorphic Decision for Mining Sub Graphs with a Cyclic Form. - Gangin Lee; Unil Yun (ICITCS, 2012)

Analyzing Efficient Algorithms of Frequent Pattern Mining. - Unil Yun; Gangin Lee; Sung-Jin Kim (ICITCS, 2012)

Mining Weighted Frequent Sub-graphs with Weight and Support Affinities. - Gangin Lee; Unil Yun (MIWAI, 2012)

Frequent Graph Pattern Mining with Length-Decreasing Support Constraints. - Gangin Lee; Unil Yun (MUE, 2013)

Frequent Graph Mining Based on Multiple Minimum Support Constraints. - Gangin Lee; Unil Yun (MUSIC, 2013)

Sliding window based weighted maximal frequent pattern mining over data streams. - Gangin Lee; Unil Yun; Keun Ho Ryu (Expert Syst. Appl., 2014)

Mining maximal frequent patterns by considering weight conditions over data streams. - Unil Yun; Gangin Lee; Keun Ho Ryu (Knowl. Based Syst., 2014)

A blog ranking algorithm using analysis of both blog influence and characteristics of blog posts. - Jiwon Kim; Unil Yun; Gwangbum Pyun; Heungmo Ryang; Gangin Lee; Eunchul Yoon; Keun Ho Ryu (Clust. Comput., 2015)

Mining weighted erasable patterns by using underestimated constraint-based pruning technique. - Gangin Lee; Unil Yun; Heungmo Ryang (J. Intell. Fuzzy Syst., 2015)

An uncertainty-based approach: Frequent itemset mining from uncertain data with different item importance. - Gangin Lee; Unil Yun; Heungmo Ryang (Knowl. Based Syst., 2015)

Ranking algorithm for book reviews with user tendency and collective intelligence. - Heungmo Ryang; Unil Yun; Gwangbum Pyun; Gangin Lee; Jiwon Kim (Multim. Tools Appl., 2015)

Multiple Minimum Support-Based Rare Graph Pattern Mining Considering Symmetry Feature-Based Growth Technique and the Differing Importance of Graph Elements. - Gangin Lee; Unil Yun; Heungmo Ryang; Donggyu Kim (Symmetry, 2015)

Analysis of Recent Maximal Frequent Pattern Mining Approaches. - Gangin Lee; Unil Yun (CSA/CUTE, 2016)

Erasable itemset mining over incremental databases with weight conditions. - Gangin Lee; Unil Yun; Heungmo Ryang; Donggyu Kim (Eng. Appl. Artif. Intell., 2016)

Efficient representative pattern mining based on weight and maximality conditions. - Unil Yun; Gangin Lee; Kyung-Min Lee (Expert Syst. J. Knowl. Eng., 2016)

Incremental mining of weighted maximal frequent itemsets from dynamic databases. - Unil Yun; Gangin Lee (Expert Syst. Appl., 2016)

Sliding window based weighted erasable stream pattern mining for stream data applications. - Unil Yun; Gangin Lee (Future Gener. Comput. Syst., 2016)

Approximate Maximal Frequent Pattern Mining with Weight Conditions and Error Tolerance. - Gangin Lee; Unil Yun; Heungmo Ryang; Donggyu Kim (Int. J. Pattern Recognit. Artif. Intell., 2016)

Mining recent high average utility patterns based on sliding window from stream data. - Unil Yun; Donggyu Kim; Heungmo Ryang; Gangin Lee; Kyung-Min Lee (J. Intell. Fuzzy Syst., 2016)

The Smallest Valid Extension-Based Efficient, Rare Graph Pattern Mining, Considering Length-Decreasing Support Constraints and Symmetry Characteristics of Graphs. - Unil Yun; Gangin Lee; Chulhong Kim (Symmetry, 2016)

Analysis of tree-based uncertain frequent pattern mining techniques without pattern losses. - Gangin Lee; Unil Yun; Kyung-Min Lee (J. Supercomput., 2016)

A new efficient approach for mining uncertain frequent patterns using minimum data structure without false positives. - Gangin Lee; Unil Yun (Future Gener. Comput. Syst., 2017)

Analyzing of incremental high utility pattern mining based on tree structures. - Judae Lee; Unil Yun; Gangin Lee (Hum. centric Comput. Inf. Sci., 2017)

Mining Frequent Weighted Itemsets without Storing Transaction IDs and Generating Candidates. - Gangin Lee; Unil Yun; Keun Ho Ryu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017)

An efficient algorithm for mining high utility patterns from incremental databases with one database scan. - Unil Yun; Heungmo Ryang; Gangin Lee; Hamido Fujita (Knowl. Based Syst., 2017)

Efficient High Utility Pattern Mining for Establishing Manufacturing Plans With Sliding Window Control. - Unil Yun; Gangin Lee; Eunchul Yoon (IEEE Trans. Ind. Electron., 2017)

Efficient incremental high utility pattern mining based on pre-large concept. - Judae Lee; Unil Yun; Gangin Lee; Eunchul Yoon (Eng. Appl. Artif. Intell., 2018)

Single-pass based efficient erasable pattern mining using list data structure on dynamic incremental databases. - Gangin Lee; Unil Yun (Future Gener. Comput. Syst., 2018)

Performance and characteristic analysis of maximal frequent pattern mining methods using additional factors. - Gangin Lee; Unil Yun (Soft Comput., 2018)

Efficient approach for incremental high utility pattern mining with indexed list structure. - Unil Yun; Hyoju Nam; Gangin Lee; Eunchul Yoon (Future Gener. Comput. Syst., 2019)

Advanced approach of sliding window based erasable pattern mining with list structure of industrial fields. - Unil Yun; Gangin Lee; Eunchul Yoon (Inf. Sci., 2019)

Erasable pattern mining based on tree structures with damped window over data streams. - Yoonji Baek; Unil Yun; Heonho Kim; Hyoju Nam; Gangin Lee; Eunchul Yoon; Bay Vo; Jerry Chun-Wei Lin (Eng. Appl. Artif. Intell., 2020)