Applying variable precision rough set model for clustering student suffering study’s anxiety ITR Yanto, P Vitasari, T Herawan, MM Deris Expert Systems with Applications 39 (1), 452-459, 2012 | 71 | 2012 |
Rough set approach for categorical data clustering T Herawan Universiti Tun Hussein Malaysia, 2010 | 34 | 2010 |
A modified Fuzzy k-Partition based on indiscernibility relation for categorical data clustering ITR Yanto, MA Ismail, T Herawan Engineering Applications of Artificial Intelligence 53, 41-52, 2016 | 30 | 2016 |
SMARViz: Soft maximal association rules visualization T Herawan, ITR Yanto, MM Deris Visual Informatics: Bridging Research and Practice: First International …, 2009 | 30 | 2009 |
Data clustering using variable precision rough set ITR Yanto, T Herawan, MM Deris Intelligent Data Analysis 15 (4), 465-482, 2011 | 24 | 2011 |
A framework of training ANFIS using chicken swarm optimization for solving classification problems M Zarlis, ITR Yanto, D Hartama 2016 International conference on informatics and computing (ICIC), 437-441, 2016 | 19 | 2016 |
The hybrid cubes encryption algorithm (HiSea) S Jamel, MM Deris, ITR Yanto, T Herawan International Conference on Computer Science, Engineering and Applications …, 2011 | 18 | 2011 |
A numerical classification technique based on fuzzy soft set using hamming distance ITR Yanto, RR Saedudin, SA Lashari, Haviluddin Recent Advances on Soft Computing and Data Mining: Proceedings of the Third …, 2018 | 17 | 2018 |
A soft set-based co-occurrence for clustering web user transactions E Sutoyo, ITR Yanto, RR Saedudin, T Herawan TELKOMNIKA (Telecommunication Computing Electronics and Control) 15 (3 …, 2017 | 17 | 2017 |
Soft set approach for maximal association rules mining T Herawan, ITR Yanto, M Mat Deris Database Theory and Application: International Conference, DTA 2009, Held as …, 2009 | 16 | 2009 |
Application of adaptive neuro-fuzzy inference system and chicken swarm optimization for classifying river water quality E Sutoyo, RR Saedudin, ITR Yanto, A Apriani 2017 5th International Conference on Electrical, Electronics and Information …, 2017 | 14 | 2017 |
Rough set approach for attributes selection of traditional Malay musical instruments sounds classification N Senan, R Ibrahim, N Mohd Nawi, ITR Yanto, T Herawan Ubiquitous Computing and Multimedia Applications: Second International …, 2011 | 14 | 2011 |
An application of rough set theory for clustering performance expectancy of Indonesian e-government dataset DW Jacob, MFM Fudzee, MA Salamat, RR Saedudin, ITR Yanto, ... Recent Advances on Soft Computing and Data Mining: The Second International …, 2017 | 13 | 2017 |
Ringed seal search for global optimization via a sensitive search model Y Saadi, ITR Yanto, T Herawan, V Balakrishnan, H Chiroma, ... PloS one 11 (1), e0144371, 2016 | 13 | 2016 |
Rough set approach for categorical data clustering T Herawan, ITR Yanto, M Mat Deris Database Theory and Application: International Conference, DTA 2009, Held as …, 2009 | 13 | 2009 |
A framework for clustering of web users transaction based on soft set theory E Sutoyo, ITR Yanto, Y Saadi, H Chiroma, S Hamid, T Herawan Proceedings of the International Conference on Data Engineering 2015 (DaEng …, 2019 | 12 | 2019 |
Fuzzy soft set for rock igneous clasification ITR Yanto, E Sutoyo, A Apriani, O Verdiansyah 2018 International Symposium on Advanced Intelligent Informatics (SAIN), 199-203, 2018 | 11 | 2018 |
Attribute selection on student performance dataset using maximum dependency attribute RR Saedudin, E Sutoyo, S Kasim, H Mahdin, ITR Yanto 2017 5th International Conference on Electrical, Electronics and Information …, 2017 | 11 | 2017 |
Soft set theory for feature selection of traditional Malay musical instrument sounds N Senan, R Ibrahim, NM Nawi, ITR Yanto, T Herawan Information Computing and Applications: First International Conference …, 2010 | 11 | 2010 |
Application of wavelet de-noising filters in mammogram images classification using fuzzy soft set SA Lashari, R Ibrahim, N Senan, ITR Yanto, T Herawan Recent Advances on Soft Computing and Data Mining: The Second International …, 2017 | 10 | 2017 |