JICS

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. 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. 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. 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. A Study on Procurement Audit Integration Real Time Monitoring System Using Process Mining Under Big Data Environment

Young-Seok Yoo, Han-Gyu Park, Seung-Hoon Back, Sung-Chan Hong, Vol. 18, No. 3, pp. 71-0, Jun. 2017

10.7472/jksii.2017.18.3.71
Keywords: Big data, Process Mining, Internal Audit, Integration Real Time Monitoring System, Hadoop

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. 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. A Detection Model using Labeling based on Inference and Unsupervised Learning Method

Sung-Sam Hong, Dong-Wook Kim, Byungik Kim, Myung-Mook Han, Vol. 18, No. 1, pp. 65-76, Feb. 2017

10.7472/jksii.2017.18.1.65
Keywords: Labeling, Detection Model based on classification, Data Mining, Inference, Supervised/Unsupervised Learning, Security

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. 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