Y
Yon Dohn Chung
Researcher at Korea University
Publications - 103
Citations - 1796
Yon Dohn Chung is an academic researcher from Korea University. The author has contributed to research in topics: Efficient XML Interchange & Mobile computing. The author has an hindex of 20, co-authored 93 publications receiving 1637 citations. Previous affiliations of Yon Dohn Chung include KAIST & Dongguk University.
Papers
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Journal ArticleDOI
Parallel data processing with MapReduce: a survey
TL;DR: In this survey, the MapReduce framework is characterized and its inherent pros and cons are discussed, and its optimization strategies reported in the recent literature are introduced.
Journal ArticleDOI
Effective Data Placement for Wireless Broadcast
Yon Dohn Chung,Myoung Ho Kim +1 more
TL;DR: This paper investigates how to place data objects on air for wireless broadcast such that mobile clients can access the data in short latency, and proposes an effective data placement method that constructs the broadcast schedule by appending each query's data set in greedy way.
Proceedings ArticleDOI
QEM: a scheduling method for wireless broadcast data
Yon Dohn Chung,Myoung Ho Kim +1 more
TL;DR: A practically usable method is given, named QEM, which constructs the broadcast schedule by expanding each query's data set in greedy way and a measure, named QueryDistance (QD), which represents the degree of coherence for the data set accessed by a query.
Journal ArticleDOI
A framework to preserve the privacy of electronic health data streams.
TL;DR: This paper presents delay-free anonymization, a framework for preserving the privacy of electronic health data streams, and devise late validation for increasing the data utility of the anonymization results and managing the counterfeit values.
Journal ArticleDOI
Utility-preserving anonymization for health data publishing.
TL;DR: A new utility-preserving anonymization method for privacy preserving data publishing (PPDP) and an anonymization algorithm using the proposed method are proposed that show the lower information loss than the existing method.