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Showing results 1 to 11 of 11

A Design of Group Recommendation Mechanism Considering Opportunity Cost and Personal Activity Using Spark Framework
  • 2018-01-01
  • Lecture Notes in Electrical Engineering, Vol.461, pp.289-298
  • Springer Verlag
A Design of Personalized Rating Method Including Herd Influence Using Spark-Hadoop Framework
  • SUN LU
  • 2018-08
  • The Graduate School, Ajou University
A development of LDA topic association systems based on spark-hadoop framework
  • 2018-01-01
  • Journal of Information Processing Systems, Vol.14 No.1, pp.140-149
  • Korea Information Processing Society
Design Knowledge Discover and Extractor Analytical Pipeline System for COVID-19 Research Based on Hadoop-Spark Big Data Frameworks
  • CAETANO SERGIO PAULO
  • 2023-02
  • The Graduate School, Ajou University
Hadoop Namenode의 고가용성 및 고신뢰성 향상을 위한 멀티마스터 및 펜싱기법 응용구조 제안
  • 김태하
  • 2017-02
  • The Graduate School, Ajou University
Improving top-K contents recommendation performance by considering Bandwagon effect: Using Hadoop-Spark framework
  • 2018-01-01
  • Lecture Notes in Electrical Engineering, Vol.474, pp.137-142
  • Springer Verlag
MapReduce 프레임워크를 위한 JobTracker 결함허용 메커니즘
  • 황병현
  • 2011-08
  • The Graduate School, Ajou University
PADS: Performance-Aware Dynamic Scheduling for Effective MapReduce Computation in Heterogeneous Clusters
  • 2018-10-29
  • Proceedings - IEEE International Conference on Cluster Computing, ICCC, Vol.2018-September, pp.160-161
  • Institute of Electrical and Electronics Engineers Inc.
기회 비용을 고려한 하둡 Spark 기반 그룹 추천 기법 개발
  • 윤병호
  • 2018-02
  • The Graduate School, Ajou University
이종 하둡 YARN 환경의 성능향상을 위한 vCore 기반의 Container 균일화 기법 제안
  • 이수경
  • 2017-02
  • The Graduate School, Ajou University
하둡-Spark 기반 Top-K 콘텐츠 추천 기법 설계
  • 강석균
  • 2018-02
  • The Graduate School, Ajou University
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