JICS

1. An Interpretable Log Anomaly System Using Bayesian Probability and Closed Sequence Pattern Mining

Jiyoung Yun, Gun-Yoon Shin, Dong-Wook Kim, Sang-Soo Kim, Myung-Mook Han, Vol. 22, No. 2, pp. 77-87, Apr. 2021

10.7472/jksii.2021.22.2.77
Keywords: Explainable AI, Log anomaly detection, Bayesian Probability, Rule Extraction

2. Development and Comparison of Data Mining-based Prediction Models of Building Fire Probability

Sung-gwan Hong, Seung Ryul Jeong, Vol. 19, No. 6, pp. 101-112, Dec. 2018

10.7472/jksii.2018.19.6.101
Keywords: Fire probability prediction, fire risk, Data Mining

3. Recursive Estimation of Biased Zero-Error Probability for Adaptive Systems under Non-Gaussian Noise

Namyong Kim, Vol. 17, No. 1, pp. 1-6, Feb. 2016

10.7472/jksii.2016.17.1.01
Keywords: recursive probability, biased zero-error, biased Gaussian, impulsive, underwater communication

4. Estimation of Zero-Error Probability of Constant Modulus Errors for Blind Equalization

Namyong Kim, Vol. 15, No. 5, pp. 17-24, Oct. 2014

10.7472/jksii.2014.15.5.17
Keywords: constant modulus error, computational complexity, Gradient, Impulsive noise, zero-error probability

5. Recursive Estimation of Euclidean Distance between Probabilities based on A Set of Random Symbols

Namyong Kim, Vol. 15, No. 4, pp. 119-124, Aug. 2014

10.7472/jksii.2014.15.4.119
Keywords: Recursive, Euclidean Distance, Probability, Random Symbols, Blind

6. Biased Zero-Error Probability for Adaptive Systems under Non-Gaussian Noise

Namyong Kim, Vol. 14, No. 1, pp. 9-14, Feb. 2013

10.7472/jksii.2013.14.9
Keywords: impulsive, DC-bias, zero-error probability, equalization

7. Performance Analysis of Maximum Zero-Error Probability Algorithm for Blind Equalization in Impulsive Noise Channels

Nam-Yong Kim, Vol. 11, No. 5, pp. 1-8, Oct. 2010
Keywords: Impulsive noise, Blind Equalization, maximization of zero-error probability, constant modulus error, correntropy

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