JICS

1. Performance Measurement for Selecting EVM-based Blockchain in the Financial Industry

Sang Il Mo, Jae Jun Lee, Byung Wan Suh, Vol. 25, No. 5, pp. 107-119, Oct. 2024

10.7472/jksii.2024.25.5.107
Keywords: Blockchain, Ethereum Virtual Machine, Performance Evaluation, Smart Contract, Financial Platform

2. Proposal for the Hourglass-based Public Adoption-LinkedNational R&D Project Performance Evaluation Framework

SeungHa Lee, Daehwan Kim, Kwang Sik Jeong, Keon Chul Park, Vol. 24, No. 6, pp. 31-39, Dec. 2023

10.7472/jksii.2023.24.6.31
Keywords: Integrated National R&D Program, National R&D Program Performance Evaluation, Hourglass Model, Performance Evaluation Indicator

3. Recent Technique Analysis, Infant Commodity Pattern Analysis Scenario and Performance Analysis of Incremental Weighted Maximal Representative Pattern Mining

Unil Yun, Eunmi Yun, Vol. 21, No. 2, pp. 39-48, Apr. 2020

10.7472/jksii.2020.21.2.39
Keywords: Weighted maximal pattern mining, Incremental mining, Representative pattern, Application scenario, Performance Evaluation

4. Development of Performance Evaluation Metrics of Concurrency Control in Object-Oriented Database Systems

Woochun Jun, Suk-Ki Hong, Vol. 19, No. 5, pp. 107-113, Oct. 2018

10.7472/jksii.2018.19.5.107
Keywords: Object-oriented Database, Concurrency Control, Performance Evaluation Metrics, Class Hierarchy, Class Composition Hierarchy

5. Real Time Distributed Parallel Processing to Visualize Noise Map with Big Sensor Data and GIS Data for Smart Cities

Jong-Won Park, Ye-Chan Sim, Hae-Sun Jung, Yong-Woo Lee, Vol. 19, No. 4, pp. 1-6, Aug. 2018

10.7472/jksii.2018.19.4.1
Keywords: Smart Cities, Geographical Information, Big Sensor Data Stream, Generation of Real-time three Dimensional Noise Maps, Real-time Distributed Parallel Processing, Performance Evaluation

6. Analysis and Performance Evaluation of Pattern Condensing Techniques used in Representative Pattern Mining

Gang-In Lee, Un-Il Yun, Vol. 16, No. 2, pp. 77-84, Apr. 2015

10.7472/jksii.2015.16.2.77
Keywords: Closed pattern, Data Mining, Frequent pattern mining, Maximal pattern, Performance Evaluation, Representative pattern mining

7. Performance analysis of Frequent Itemset Mining Technique based on Transaction Weight Constraints

Unil Yun, Gwangbum Pyun, Vol. 16, No. 1, pp. 67-74, Feb. 2015

10.7472/jksii.2015.16.1.67
Keywords: Transaction weight, Data Mining, Frequent Itemset mining, Performance Evaluation, scalability

8. Analysis and Evaluation of Frequent Pattern Mining Technique based on Landmark Window

Gwangbum Pyun, Unil Yun, Vol. 15, No. 3, pp. 101-108, Jun. 2014

10.7472/jksii.2014.15.3.101
Keywords: Landmark Window, Frequent pattern mining, Online mining, Performance Evaluation, scalability

9. Performance Analysis of Frequent Pattern Mining with Multiple Minimum Supports

Heungmo Ryang, Unil Yun, Vol. 14, No. 6, pp. 1-8, Dec. 2013

10.7472/jksii.2013.14.6.01
Keywords: Multiple minimum supports, Frequent pattern mining, Rare frequent patterns, Performance Evaluation, scalability

10. Performance evaluation of approximate frequent pattern mining based on probabilistic technique

Gwangbum Pyun, Unil Yun, Vol. 14, No. 1, pp. 63-0, Feb. 2013

10.7472/jksii.2013.14.63
Keywords: approximate frequent pattern mining, Chernoff technique, probabilistic technique, Performance Evaluation, scalability

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