activity
20122018
most citedRare Association Rule Mining for Network Intrusion Detection

7 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.GN2018

Prediction of Signal Sequences in Abiotic Stress Inducible Genes from Main Crops by Association Rule Mining

Un-Hyang Ho, Hye-Ok Kong

It is important to study on genes affecting to growing environment of main crops. Especially the recognition problem of promoter region, which is the problem to predict whether DNA…

cs.DB2018

Searching of interesting itemsets for negative association rules

Hyeok Kong, Dokjun An, Douk Han

In this paper, we propose an algorithm of searching for both positive and negative itemsets of interest which should be given at the first stage for positive and negative associati…

cs.DB2018★ 2 cited

Itemsets of interest for negative association rules

Hyeok Kong, Dokjun An, Jihyang Ri

So far, most of association rule minings have considered about positive association rules based on frequent itemsets in databases[2,5-7], but they have not considered the problem o…

cs.CR2016★ 7 cited

Rare Association Rule Mining for Network Intrusion Detection

Hyeok Kong, Cholyong Jong, Unhyok Ryang

In this paper, we propose a new practical association rule mining algorithm for anomaly detection in Intrusion Detection System (IDS). First, with a view of anomaly cases being rel…

cs.CR2016★ 1 cited

Implementation of Association Rule Mining for Network Intrusion Detection

Hyeok Kong, Cholyong Jong, Unhyok Ryang

Many modern intrusion detection systems are based on data mining and database-centric architecture, where a number of data mining techniques have been found. Among the most popular…

cs.CL2012

Natural Language Understanding Based on Semantic Relations between Sentences

Hyeok Kong

In this paper, we define event expression over sentences of natural language and semantic relations between events. Based on this definition, we formally consider text understandin…