EDBT 2026 Demo / reviewers in the wild / expert
Moon Jeung Joe
dblp:71/4216
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 2 first-authorArtificial intelligence and machine learning · 2 · 2 first-author
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 |
Database system architecture and tuning · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database system architecture and tuning
embedded database |
0.1 | 1 | 2006 | LGeDBMS: A Small DBMS for Embedded System with Flash Memory · VLDB 2006 |
Storage systems › flash and SSD
flash memory |
0.0 | 1 | 2006 | LGeDBMS: A Small DBMS for Embedded System with Flash Memory · VLDB 2006 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | LGeDBMS: A Small DBMS for Embedded System with Flash Memory
Gye-Jeong Kim, Seung-Cheon Baek, Hyun-Sook Lee, Han-Deok Lee, Moon Jeung Joe |
VLDB | 5 |
| 2001 | Wavelet transformation-based management of integrated summary data for distributed query processing
Moon Jeung Joe, Kyu-Young Whang, Sang-Wook Kim |
Data Knowl. Eng. | 1 |
| 1995 | A combined method on the handwritten character recognitionabstractCharacter recognition can be classified into on-line and off-line schemes. Although each scheme uses geometric features of characters for recognition, it is difficult to merge the two since they use different data inputs. The on-line character recognition schemes use strokes as input. The off-line recognition schemes use an image of handwritten characters. In this paper, we propose a new method to recognize on-line as well as off-line Korean characters in a single system. As this system converts a character image into an array of strokes, any on-line recognition algorithm is able to recognize both on-line and off-line data. Moon Jeung Joe, Huen Joo Lee |
ICDAR | 1 |