Projects

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Current Projects

  • 대용량 정형 데이터 대상 개인 정보 가명, 익명화를 위한 자동처리 기술

  • DNA+ ‐ AI 서비스를 위한 데이터 프라이버시 및 네트워크 가상화 기술 연구 사업단

  • 대규모 분산 딥러닝을 위한 인메모리 텐서 데이터베이스

Past Projects

  • 비정형 데이터 비식별 조치 방안

  • 프라이버시 침해 없이 감염병을 예방하는 데이터 기반 시스템

  • 개인정보를 안전하고 편리하게 빅데이터 처리할 수 있는 방법

  • CCTV 빅데이터 기반 지능형 범죄추적/예방 및 사회안전시스템

  • 빅데이터 환경에서 비식별화 기법을 이용한 개인 정보보호 기술 개발

  • Tajo: A Distributed Data Warehouse System on Large Cluster

    Tajo is a relational and distributed data warehouse system for Hadoop. Tajo is designed for low-latency and scalable ad-hoc queries, online aggregation and ETL on large-data sets by leveraging advanced database techniques. It supports SQL standards. Tajo uses HDFS as a primary storage layer and has its own query engine which allows direct control of distributed execution and data flow. As a result, Tajo has a variety of query evaluation strategies and more optimization opportunities.

  • Web Log Analyzer

    Web Logs Analyzer is a system that user can easily query about real network traffic. It provides various features such as ETL, analytic measure materialization, query registration etc.

  • Real-time data processing network system

    Pub/sub based user preference information system,
    Real-time event processing network system,
    Scalable system that using cloud computing technique

  • GraphMR: A Distributed Graph Match Method using MapReduce

    This work is a distributed graph match method on large data sets. This work was submitted to IEEE Transactions on Kowledge and Data Engineering (TKDE).

  • SPIDER: A System for Scalable, Parallel / Distributed Evaluation of large-scale RDF

    This project aims at processing large-scale RDF data. In this project, we developed scale RDF processing method using MapReduce that is a distributed processing framework and storing techniques for large RDF data sets. This project was demonstrated in the 18th ACM Conference on Information and Knowledge Management (CIKM) in November 2009.

  • R3 - Wireless Broadcast System

    This is a system that consist of server and client. The server broadcast news data and the client can connect to the channel and get the data.

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