Unil Yun

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 32 Citations 3,886 188 World Ranking 9410 National Ranking 100

Overview

What are the main themes of his work throughout his whole career to date

His study in Epistemology extends to Association (psychology) with its themes. His Association (psychology) research extends to the thematically linked field of Epistemology. Unil Yun performs multidisciplinary study in the fields of Data mining and Association rule learning via his papers. Unil Yun combines Association rule learning and Data mining in his research. His research ties Pure mathematics and Field (mathematics) together. His Pure mathematics study frequently links to other fields, such as Field (mathematics). Many of his studies on Mathematical analysis involve topics that are commonly interrelated, such as Tree (set theory). His study in Mathematical analysis extends to Tree (set theory) with its themes. His study deals with a combination of Marine engineering and Aerospace engineering.

Unil Yun most often published in these fields:

Association (psychology) (50.00%)
Data mining (50.00%)
Epistemology (50.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

WFIM: Weighted Frequent Itemset Mining with a weight range and a minimum weight.

Unil Yun;John J. Leggett.
siam international conference on data mining (2005)

188 Citations

High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates

Unil Yun;Heungmo Ryang;Keun Ho Ryu.
Expert Systems With Applications (2014)

163 Citations

Efficient mining of weighted interesting patterns with a strong weight and/or support affinity

Unil Yun.
Information Sciences (2007)

131 Citations

Sliding window based weighted maximal frequent pattern mining over data streams

Gangin Lee;Unil Yun;Keun Ho Ryu.
Expert Systems With Applications (2014)

125 Citations

ASRNN: A recurrent neural network with an attention model for sequence labeling

Jerry Chun-Wei Lin;Jerry Chun-Wei Lin;Yinan Shao;Youcef Djenouri;Unil Yun.
Knowledge Based Systems (2021)

124 Citations

Top- k high utility pattern mining with effective threshold raising strategies

Heungmo Ryang;Unil Yun.
Knowledge Based Systems (2015)

110 Citations

Efficient frequent pattern mining based on Linear Prefix tree

Gwangbum Pyun;Unil Yun;Keun Ho Ryu.
Knowledge Based Systems (2014)

108 Citations

Damped window based high average utility pattern mining over data streams

Unil Yun;Donggyu Kim;Eunchul Yoon;Hamido Fujita.
Knowledge Based Systems (2017)

99 Citations

WSpan: Weighted Sequential pattern mining in large sequence databases

Unil Yun;John J. Leggett.
2006 3rd International IEEE Conference Intelligent Systems (2006)

99 Citations

A new framework for detecting weighted sequential patterns in large sequence databases

Unil Yun.
Knowledge Based Systems (2008)

99 Citations

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Unil Yun

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What are the main themes of his work throughout his whole career to date

Unil Yun most often published in these fields:

Best Publications

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