Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Gyun Woo

dblp:46/3626 · DBLP profile ↗
← Back
9ranked-venue papers
1as first author
0since 2021 · last 2013
0009-0004-7844-0548ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 2Applied, interdisciplinary, general and emerging computing · 2Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
citation analysis
0.112010
Yet another paper ranking algorithm advocating recent publications · WWW 2010
Information retrieval › search engines › semantic search › entity retrieval › entity ranking
paper ranking
0.112010
Yet another paper ranking algorithm advocating recent publications · WWW 2010
Information retrieval
ranking
0.112010
Yet another paper ranking algorithm advocating recent publications · WWW 2010
Information retrieval › web search
scholarly search
0.112010
Yet another paper ranking algorithm advocating recent publications · WWW 2010

Methods — techniques the papers use, named apart from their topics

citation-based ranking · 0.1authority propagation · 0.1
YearPublicationVenuePosition
2013 Detecting and visualizing online dispute dynamics in replying comments
abstract
SUMMARY In Web‐based social media (blogs, Internet forums, etc.), readers express their opinions by attaching reply comments to articles and understand others' perspectives by reading these comments. On Web forums, users discuss and argue with others via reply comments. Thus, a series of comments may provide new information, particularly about disputes among participants. Unfortunately, current systems for viewing reply comments are primitive; it is hard to follow disputes and their relationships by using such systems. We examine the characteristics of disputes by using reply comments and propose a novel system for automatically detecting disputes and their relationships among a large set of reply comments. This paper defines a dispute section as a series of comments where the dispute index is sufficiently high. The dispute index is determined using an exponential model with three control parameters. Next, the dispute relationship can be defined according to a pair of arguing commenters. The basic concept is to exploit the order of comment posting times and comment writer information when detecting dispute sections because the comments tend to appear in ordered pairs. The proposed system detects dispute sections and visualizes them according to dispute relationships among commenters, enabling users to appreciate the controversial structure of comments. To test the performance of our system, we constructed a dataset containing comment sequences associated with 40 articles collected from an Web forum. We constructed the set of dispute comments manually. We found that the detection accuracy of our system for disputes and their relationships were 83% and 78% on average. Copyright © 2012 John Wiley & Sons, Ltd.
Yun-Jung Lee, Hwan-Gue Cho, Gyun Woo
Softw. Pract. Exp.4
2011 An automated approach to reducing test suites for testing retargeted C compilers for embedded systems
Heung Seok Chae, Gyun Woo, Tae-Yeon Kim 0004, Jung Ho Bae, Won-Young Kim
J. Syst. Softw.2
2010 Yet another paper ranking algorithm advocating recent publications
abstract
In this paper, we propose a new paper ranking algorithm that gives a high rank to papers which is credited by other authoritative papers or published in premier conferences or journals. Also, the proposed algorithm solves a problem that recent papers are rated poorly due to few citations.
Won-Seok Hwang, Soo-Min Chae, Sang-Wook Kim, Gyun Woo
WWW4
2009 Revising cohesion measures by considering the impact of write interactions between class members
Gyun Woo, Heung Seok Chae, Jian Feng Cui, Jeong-Hoon Ji
Inf. Softw. Technol.1
2008 An experience of detecting plagiarized source codes in competitive programming contests
Jeong-Hoon Ji, Gyun Woo, Hwan-Gue Cho
ITiCSE2
2007 A source code linearization technique for detecting plagiarized programs
abstract
It is very important to detect plagiarized programs in the field of computer science education. Therefore, many tools and algorithms have been developed for this purpose. Generally, these tools are operated in two phases. In phase 1, a program plagiarism detecting tool generates an intermediate representation from a given program set. The intermediate representation should reflect the structural characterization of the program. Most tools use the parse tree or token sequence by intermediate representation. In phase 2, the program looks for plagiarized material and evaluates the similarity of two programs. It is helpful to announce the plagiarized metarials between two programs to the instructor. In this paper, we present the static tracing method in order to improve program plagiarism detection accuracy. The static tracing method statically executes a program at the syntax-level and then extracts predefined keywords according to the order of the executed functions. The result of experiment proves this method can detect plagiarism more effectively than the previously released plagiarism detecting method.
Jeong-Hoon Ji, Gyun Woo, Hwan-Gue Cho
ITiCSE2
2007 Source Code Similarity Detection Using Adaptive Local Alignment of Keywords
abstract
Program similarity checking is an important application of programming education fields. Local alignment is one of the typical algorithms for comparing two strings. However local alignment based comparison does not reflect the weights of program keywords. This paper introduces an adaptive local alignment which reflects the frequencies of keywords to the similarity matrix. We experimented this method using a set of programs submitted to more than 10 real programming contests. The experimental result shows that the adaptive local alignment is more robust than greedy-string-tiling adopted in JPlag.
Jeong-Hoon Ji, Soo-Hyun Park, Gyun Woo, Hwan-Gue Cho
PDCAT3
2007 Automatic Generation Algorithm of FAST Protocol Templates for Efficient Transmission of Financial Data
abstract
The protocol FAST (FIX adapted for streaming) is superior than FIX in that it performs data compression according to the protocol template prescribed. Since the FAST protocol template captures the sequence characteristic of the transmitted data, it is written manually by human experts. This paper describes an algorithm for generating FAST protocol templates automatically by analyzing the patterns of message sequence. The experimental result shows that the proposed algorithm is slightly more efficient than the human expert in respects of the compression ratio.
Gun-Woo Lee, Youn-Jung Park, Gyun Woo
PDCAT3
2005 An Automatic Resource Selection Scheme for Grid Computing Systems
KyungWoo Kang, Gyun Woo
ICCSA (1)2