Digital Library

1. 31. Intelligent Abnormal Event Detection Algorithm for Single Households at Home via Daily Audio and Vision Patterns
   Juho Jung, Junho Ahn, Vol. 20, No. 1, pp. 77-86, Feb. 2019
   10.7472/jksii.2019.20.1.77
   Keywords: vision, image processing, Audio, Fusion, pattern, Single Households, Daily behavior
2. 32. Performance Analysis of Siding Window based Stream High Utility Pattern Mining Methods
   Heungmo Ryang, Unil Yun, Vol. 17, No. 6, pp. 53-60, Dec. 2016
   10.7472/jksii.2016.17.6.53
   Keywords: Pattern mining, High utility pattern mining, sliding window model, resource-limited environments
3. 33. Effects of SNS user's Personality on Usage patterns and SNS commitment: A case study of Facebook
   Yena Choi, HaSung Hwang, Vol. 17, No. 3, pp. 95-106, Jun. 2016
   10.7472/jksii.2016.17.3.95
   Keywords: SNS, Facebook, The Big Five Personality Model, Usage Patterns, Commitment
4. 34. Performance Analysis of Top-K High Utility Pattern Mining Methods
   Heungmo Ryang, Unil Yun, Chulhong Kim, Vol. 16, No. 6, pp. 89-96, Dec. 2015
   10.7472/jksii.2015.16.6.89
   Keywords: High utility patterns, Top-K mining, Threshold setting, High utility pattern mining, Top-K high utility pattern mining, Performance Analysis
5. 35. Clustering Algorithm using the DFP-Tree based on the MapReduce
   Young-Won Seo, Chang-soo Kim, Vol. 16, No. 6, pp. 23-30, Dec. 2015
   10.7472/jksii.2015.16.6.23
   Keywords: SData Mining, Frequent-Pattern tree, Clustering Algorithms, Distributed Processing System, Recommendation System, Map Reduce
6. 36. A Smartphone Addiction and Disease Prevention System Through the Collection and Analysis of Smartphone Usage Patterns
   Myeong-Un Ryu, Yo-Han Ryu, WooSeok Hyun, Jiyoung Lim, Ilsun You, Hae-Duck Jeong, Vol. 16, No. 3, pp. 95-104, Jun. 2015
   10.7472/jksii.2015.16.3.95
   Keywords: Smartphone addiction, smartphone disease, smartphone addiction and disease prevention system, usage pattern, orientation sensor
7. 37. 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
8. 38. A Weighted Frequent Graph Pattern Mining Approach considering Length-Decreasing Support Constraints
   Unil Yun, Gangin Lee, Vol. 15, No. 6, pp. 125-132, Dec. 2014
   10.7472/jksii.2014.15.6.125
   Keywords: Length-decreasing support constraint, weighted frequent pattern mining, graph pattern, Data Mining, Frequent pattern mining
9. 39. 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
10. 40. Outlier Detection Method for Mobile Banking with User Input Pattern and E-finance Transaction Pattern
    Hee Yeon Min, Jin Hyung Park, Dong Hoon Lee, In Seok Kim, Vol. 15, No. 1, pp. 157-170, Feb. 2014
    10.7472/jksii.2014.15.1.157
    Keywords: Outlier Detection, User Input Pattern, E-finance Transaction Pattern