| # | Document title | Authors | Year | Source | Cited by |
| 1 | E-stream: Evolution-based technique for stream clustering | Udommanetanakit K., Rakthanmanon T., Waiyamai K. | 2007 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4632 LNAI,pp. 605-615 | 72 |
| 2 | HUE-stream: Evolution-based clustering technique for heterogeneous data streams with uncertainty | Meesuksabai W., Kangkachit T., Waiyamai K. | 2011 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7121 LNAI(PART 2),pp. 27-40 | 20 |
| 3 | Knowledge discovery from very large databases using frequent concept lattices | Waiyamai K., Lakhal L. | 2000 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1810,pp. 437-445 | 16 |
| 4 | A pruning-based approach for searching precise and generalized region for synthetic minority over-sampling | Puntumapon K., Waiyamai K. | 2012 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7301 LNAI(PART 2),pp. 371-382 | 11 |
| 5 | Prediction of human leukocyte antigen gene using κ-nearest neighbour classifier based on spectrum kernel | Shoombuatong W., Mekhac P., Waiyamai K., Cheevadhanarak S., Chaijaruwanich J. | 2013 | ScienceAsia
39(1),pp. 42-49 | 10 |
| 6 | Hierarchical Multi-label Associative Classification (HMAC) using negative rules | Sangsuriyun S., Marukatat S., Waiyamai K. | 2010 | Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
,pp. 919-924 | 10 |
| 7 | Towards an object database approach for managing concept lattices | Waiyamai K., Taouil R., Lakhal L. | 1997 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1331,pp. 299-312 | 9 |
| 8 | Cluster-based minority over-sampling for imbalanced datasets | Puntumapon K., Rakthamamon T., Waiyamai K. | 2016 | IEICE Transactions on Information and Systems
E99D(12),pp. 3101-3109 | 9 |
| 9 | An enhanced class-attribute interdependence maximization discretization algorithm | Sriwanna K., Puntumapon K., Waiyamai K. | 2012 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7713 LNAI,pp. 465-476 | 8 |
| 10 | Object-oriented database mining: use of object oriented concepts for improving data classification technique | Waiyamai K., Songsiri C., Rakthanmanon T. | 2004 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3036,pp. 303-309 | 6 |
| 11 | CE-Stream: Evaluation-based technique for stream clustering with constraints | Sirampuj T., Kangkachit T., Waiyamai K. | 2013 | Proceedings of the 2013 10th International Joint Conference on Computer Science and Software Engineering, JCSSE 2013
,pp. 217-222 | 5 |
| 12 | Combining distributed word representation and document distance for short text document clustering | Kongwudhikunakorn S., Waiyamai K. | 2020 | Journal of Information Processing Systems
16(2),pp. 277-300 | 5 |
| 13 | Efficient evolution-based clustering of high dimensional data streams with dimension projection | Chairukwattana R., Kangkachit T., Rakthanmanon T., Waiyamai K. | 2013 | 2013 International Computer Science and Engineering Conference, ICSEC 2013
,pp. 185-190 | 4 |
| 14 | SE-Stream: Dimension projection for evolution-based clustering of high dimensional data streams | Chairukwattana R., Kangkachit T., Rakthanmanon T., Waiyamai K. | 2014 | Advances in Intelligent Systems and Computing
245,pp. 365-376 | 4 |
| 15 | SED-Stream: Discriminative dimension selection for evolution-based clustering of high dimensional data streams | Waiyamai K., Kangkachit T., Rakthanmanon T., Chairukwattana R. | 2014 | International Journal of Intelligent Systems Technologies and Applications
13(3),pp. 187-201 | 3 |
| 16 | Semi-supervised stream clustering using labeled data points | Treechalong K., Rakthanmanon T., Waiyamai K. | 2015 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9166,pp. 281-295 | 3 |
| 17 | Prediction of enzyme class by using reactive motifs generated from binding and catalytic sites | Liewlom P., Rakthanmanon T., Waiyamai K. | 2007 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4632 LNAI,pp. 442-453 | 3 |
| 18 | Concept lattice-based mutation control for reactive motifs discovery | Waiyamai K., Liewlom P., Kangkachit T., Rakthanmanon T. | 2008 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5012 LNAI,pp. 767-776 | 3 |
| 19 | AC-Stream: Associative classification over data streams using multiple class association rules | Saengthongloun B., Kangkachit T., Rakthanmanon T., Waiyamai K. | 2013 | Proceedings of the 2013 10th International Joint Conference on Computer Science and Software Engineering, JCSSE 2013
,pp. 223-228 | 3 |
| 20 | Handling concept drift via ensemble and class distribution estimation technique | Limsetto N., Waiyamai K. | 2011 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7121 LNAI(PART 2),pp. 13-26 | 3 |
| 21 | Outliers detection in time series data: Case study: Provincial waterworks authority | Khongsrabut I., Waiyamai K. | 2019 | ECTI DAMT-NCON 2019 - 4th International Conference on Digital Arts, Media and Technology and 2nd ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering
,pp. 234-238 | 3 |
| 22 | ACCD: Associative classification over concept-drifting data streams | Waiyamai K., Kangkachit T., Saengthongloun B., Rakthanmanon T. | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8556 LNAI,pp. 78-90 | 2 |
| 23 | Representing large concept hierarchies using lattice data structure | Kachai Y., Waiyamai K. | 2001 | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2035,pp. 186-197 | 2 |
| 24 | Predicting protein structural class from closed protein sequences | Rattanakronkul N., Wattarujeekrit T., Waiyamai K. | 2003 | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2637,pp. 136-147 | 2 |
| 25 | CM-HMM: Inter-residue contact and HMM-profiles based enzyme subfamily prediction and structure analysis | Taewijit S., Waiyamai K. | 2010 | Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
,pp. 863-868 | 1 |
| 26 | Hierarchical multi-label associative classification for protein function prediction using gene ontology | Sangsuriyun S., Rakthanmanon T., Waiyamai K. | 2019 | Chiang Mai Journal of Science
46(1),pp. 165-179 | 1 |
| 27 | Using rule order difference criterion to decide whether to update class association rules | Kongubol K., Rakthanmanon T., Waiyamai K. | 2010 | Studies in Computational Intelligence
283,pp. 241-252 | 1 |
| 28 | Constraint-based discriminative dimension selection for high-dimensional stream clustering | Waiyamai K., Kangkachit T. | 2018 | International Journal of Advances in Intelligent Informatics
4(3),pp. 167-179 | 1 |
| 29 | Integrating weight with ensemble to handle changes in class distribution | Limsetto N., Waiyamai K. | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8556 LNAI,pp. 91-106 | 1 |
| 30 | Fuzzy concept lattice-based approach for reactive motifs discovery | Kangkachit T., Waiyamai K. | 2012 | BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms
,pp. 326-330 | 1 |
| 31 | Enzyme classification using reactive motifs | Kangkachit T., Waiyamai K., Lenca P. | 2014 | International Journal of Functional Informatics and Personalised Medicine
4(3-4),pp. 243-258 | 1 |
| 32 | Evolution-based clustering technique for data streams with uncertainty | Meesuksabai W., Kangkachit T., Waiyamai K. | 2012 | Kasetsart Journal - Natural Science
46(4),pp. 638-652 | 1 |
| 33 | Short text document clustering using distributed word representation and document distance | Kongwudhikunakorn S., Waiyamai K. | 2019 | Walailak Journal of Science and Technology
16(2),pp. 107-119 | 1 |
| 34 | Thai Equity Mutual Fund Net Asset Value Return Prediction Using Internal Factors | Promptsook N., Waiyamai K. | 2021 | 2021 2nd International Conference on Big Data Analytics and Practices, IBDAP 2021
,pp. 119-123 | 0 |
| 35 | Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case Study | Kawtrakul A., Chanlekha H., Waiyamai K., Kangkachit T., D'Orazio L., Kotzinos D., Laurent D., Spyratos N. | 2021 | Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
,pp. 3407-3415 | 0 |
| 36 | Comprehensible enzyme function classification using reactive motifs with negative patterns | Kangkachit T., Waiyamai K. | 2016 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9729,pp. 560-568 | 0 |
| 37 | A cost-sensitive based approach for improving associative classification on imbalanced datasets | Waiyamai K., Suwannarattaphoom P. | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8556 LNAI,pp. 31-42 | 0 |
| 38 | Entropy-based attribute clustering | Khomprasert A., Rakthamanon T., Waiyamai K. | 2019 | ECTI DAMT-NCON 2019 - 4th International Conference on Digital Arts, Media and Technology and 2nd ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering
,pp. 230-233 | 0 |
| 39 | EBITDA time series forecasting case study: Provincial waterworks authority | Khusuwan K., Waiyamai K. | 2019 | ECTI DAMT-NCON 2019 - 4th International Conference on Digital Arts, Media and Technology and 2nd ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering
,pp. 239-243 | 0 |
| 40 | Classification model with subspace data-dependent balls | Klakhaeng N., Kangkachit T., Rakthanmanon T., Waiyamai K. | 2013 | Proceedings of the 2013 10th International Joint Conference on Computer Science and Software Engineering, JCSSE 2013
,pp. 211-216 | 0 |
| 41 | Bio-Ontology: A System for Searching and Analyzing Biological Data | Asawanopakiat P., Thamchaipenet A., Waiyamai K. | 2003 | Proceedings of 41st Kasetsart University Annual Conference
,pp. 277-285 | 0 |
| 42 | Object-oriened Data Mining System: A Tightly-coupled Association Rule Discovery from Object-oriented Databases | Rakthanmanon T., Songsiri C., Waiyamai K. | 2003 | Proceedings of 41st Kasetsart University Annual Conference
,pp. 296-306 | 0 |
| 43 | Using Semantic Approach to Measure Similarity between Documents | Plubrukarn P., Waiyamai K. | 2003 | Proceedings of 41st Kasetsart University Annual Conference
,pp. 286-295 | 0 |
| 44 | Formal concept mining: A statistic-based approach for pertinent concept lattice construction | Ouypornkochagorn T., Waiyamai K. | 2004 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3321,pp. 195-211 | 0 |
| 45 | Evolution and affinity-propagation based approach for data stream clustering | Sunmood A., Rakthanmanon T., Rakthanmanon T., Waiyamai K. | 2018 | ACM International Conference Proceeding Series
,pp. 97-101 | 0 |
| 46 | Information gain Aggregation-based Approach for Time Series Shapelets Discovery | Kramakum C., Rakthanmanon T., Rakthanmanon T., Waiyamai K. | 2018 | Proceedings of 2018 10th International Conference on Knowledge and Systems Engineering, KSE 2018
,pp. 97-101 | 0 |