• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Digital Library


Search: "[ keyword: Data ]" (140)
  1. 1. A Data-driven Approach for Computational Simulation: Trend, Requirement and Technology
    Sunghee Lee, Sunil Ahn, Wonkyun Joo, Myungseok Yang, Eunji Yu, Vol. 19, No. 1, pp. 123-130, Feb. 2018
    10.7472/jksii.2018.19.1.123
    Keywords: data-driven, Computational Science, trend, Platform
  2. 2. Design and Evaluation of an Edge-Fog Cloud-based Hierarchical Data Delivery Scheme for IoT Applications
    Ihn-Han Bae, Vol. 19, No. 1, pp. 37-47, Feb. 2018
    10.7472/jksii.2018.19.1.37
    Keywords: Bloom filter; Data delivery; Edge-Fog cloud; Information-centric networking; Internet of Things
  3. 3. Construction of an PFT database with various clinical information using optical character recognition and regular expression technique
    Man Young Park, Rae Woong Park, Vol. 18, No. 5, pp. 55-60, Oct. 2017
    10.7472/jksii.2017.18.5.55
    Keywords: Chronic Obstructive Pulmonary Disease, FVC, COPD, PFT, database, optical character recognition
  4. 4. Combining Support Vector Machine Recursive Feature Elimination and Intensity-dependent Normalization for Gene Selection in RNAseq
    Chayoung Kim, Vol. 18, No. 5, pp. 47-53, Oct. 2017
    10.7472/jksii.2017.18.5.47
    Keywords: Support-Vector Machine, RNAseq, Big-Data, Intensity-dependent Normalization, SVM-RFE
  5. 5. A Study on Procurement Audit Integration Real Time Monitoring System Using Process Mining Under Big Data Environment
  6. 6. The Analysis of User Perception and Attitude Using SNS Data about Emergency Contraceptive Pills
    Sung Hyun Lee, Vol. 18, No. 1, pp. 143-152, Feb. 2017
    10.7472/jksii.2017.18.1.143
    Keywords: Healthcare, Big data, Text Mining, Data Mining, Emergency Contraceptive
  7. 7. A Study on Forecasting Spare Parts Demand based on Data-Mining
    Jaedong Kim, Hanjun Lee, Vol. 18, No. 1, pp. 121-130, Feb. 2017
    10.7472/jksii.2017.18.1.121
    Keywords: demand forecasting, Data Mining, logistics, spare part
  8. 8. A Detection Model using Labeling based on Inference and Unsupervised Learning Method
  9. 9. Outlier Detection Based on MapReduce for Analyzing Big Data
    Yejin Hong, Eunhee Na, Yonghwan Jung, Yangwoo Kim, Vol. 18, No. 1, pp. 27-36, Feb. 2017
    10.7472/jksii.2017.18.1.27
    Keywords: Big data, Outlier, MapReduce, Distributed Processing, Spark
  10. 10. A Study on Continuous Monitoring Reinforcement for Sales Audit Using Process Mining Under Big Data Environment
    Young-Seok Yoo, Han-Gyu Park, Seung-Hoon Back, Sung-Chan Hong, Vol. 17, No. 6, pp. 123-132, Dec. 2016
    10.7472/jksii.2016.17.6.123
    Keywords: Process Mining, Internal Audit, Real Time Monitoring, Big data, Continuous Monitoring