Person Image

    Education

    • D.U. (Computer Science), Picardie University, France, 2542
    • M.I.(Computer Science), Picardie University, France, 2534
    • L.I. (Computer Science), Clermont-Ferrand II, France, 2530

    Expertise Cloud

    Artificial intelligenceassociative classificationChange detectionChanging environmentchanging environmentsClass distribution Ensemble methodClass distribution estimationClass distributionsClassificationClassification (of information)Cluster analysiscluster-based minority over-samplingClusteringClustering methodsClustering techniquesconcept driftConcept driftsCost sensitive learningCost-sensitive learningData communication systemsData miningData ProcessingData setsData streamdata streams classificationDecision MakingDecision treesDistance functionsDynamic rule updatingEnsemble methodEnsemble methodsEnzyme functionsEnzymesEstimationEvolutionbased clusteringForestryHeterogeneous datahigh dimensional data streamsimbalanced dataIncremental associative classificationIncremental data databasesInformation managementInformation scienceLearning systemsMulti-label classificationmultiple class-sssociation rulesOrder differencePattern recognitionPerformance degradationProtein sequencesProtein structuresProteinsQuantificationReal world settingReal-world datasetsRisk perceptionRule rankingRule-based classifierSecondary structuressemi- supervised clusteringsemi-supervised learningSequence similarityShort Text Document Clusteringshort text documentsshort text documents clusteringSimulationstatistic percentileStatistical testsStopping criteriastream clusteringstream clustering using backround knowledgeStructure analysisStructure evolutionsubspace data-dependent ballsSupport vector machineSupport vector machinessyntheticsyn-thetic minority over-samplingTarget classTest datathai natural productsThai's natural productsTime SeriesTime Series DataTime Series ForecastingTime Series ShapeletsTrees (mathematics)Two-Dimensional Gel ElectrophoresisUncertain data streamsVehicle performanceVolume measurementVoting methodweb-based sofeware tools developmentการค้นพบยาที่เหมาะสมการคัดเลือกคุณลัษณะการจำแนกประเภทด้วยกฎความสัมพันธ์การทำนายโครงสร้างของโปรตีน, เดต้าไมน์นิ่การทำนายหน้าที่การทำงานของโปรตีนการเรียนรู้แบบมีต้นทุนการวิเคราะห์โปรตีน

    Interest

    Data Mining, Data Warehousing, Decision Support System


    Resource


    งานวิจัยในรอบ 5 ปี

    Project

    งานวิจัยที่อยู่ระหว่างการดำเนินการ
    • ทุนใน 1 โครงการ (ที่ปรึกษาโครงการ 1 โครงการ)
    • ทุนนอก 0 โครงการ
    งานวิจัยที่เสร็จสิ้นแล้ว
    • ทุนใน 4 โครงการ (หัวหน้าโครงการ 2 โครงการ, ที่ปรึกษาโครงการ 1 โครงการ, ผู้ร่วมวิจัย 1 โครงการ)
    • ทุนนอก 0 โครงการ

    แนวโน้มผลงานทั้งหมดเทียบกับแนวโน้มผลงานในรอบ 5 ปี

    Output

    • บทความ 48 เรื่อง (ตีพิมพ์ในวารสารวิชาการ 18 เรื่อง, นำเสนอในการประชุม/สัมมนา 30 เรื่อง)

    แนวโน้มการนำผลงานไปใช้ประโยชน์ในด้านต่างๆ

    Outcome

    • การนำผลงานไปใช้ประโยชน์ 0 เรื่อง (เชิงวิชาการ 0 เรื่อง, เชิงนโยบาย/บริหาร 0 เรื่อง, เชิงสาธารณะ 0 เรื่อง, เชิงพาณิชย์ 0 เรื่อง)

    รางวัลที่ได้รับ

    Award

    • รางวัลที่ได้รับ 0 เรื่อง (ประกาศเกียรติคุณ/รางวัลนักวิจัย 0 เรื่อง, รางวัลผลงานวิจัย/สิ่งประดิษฐ์ 0 เรื่อง, รางวัลผลงานนำเสนอในการประชุมวิชาการ 0 เรื่อง)

    นักวิจัยที่มีผลงานงานร่วมกันมากที่สุด 10 คนแรก


    Scopus h-index

    #Document titleAuthorsYearSourceCited by
    1E-stream: Evolution-based technique for stream clusteringUdommanetanakit K., Rakthanmanon T., Waiyamai K.2007Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    4632 LNAI,pp. 605-615
    65
    2HUE-stream: Evolution-based clustering technique for heterogeneous data streams with uncertaintyMeesuksabai W., Kangkachit T., Waiyamai K.2011Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    7121 LNAI(PART 2),pp. 27-40
    18
    3Knowledge discovery from very large databases using frequent concept latticesWaiyamai K., Lakhal L.2000Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    1810,pp. 437-445
    16
    4Prediction of human leukocyte antigen gene using κ-nearest neighbour classifier based on spectrum kernelShoombuatong W., Mekhac P., Waiyamai K., Cheevadhanarak S., Chaijaruwanich J.2013ScienceAsia
    39(1),pp. 42-49
    10
    5Towards an object database approach for managing concept latticesWaiyamai K., Taouil R., Lakhal L.1997Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    1331,pp. 299-312
    9
    6Hierarchical Multi-label Associative Classification (HMAC) using negative rulesSangsuriyun S., Marukatat S., Waiyamai K.2010Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
    ,pp. 919-924
    9
    7A pruning-based approach for searching precise and generalized region for synthetic minority over-samplingPuntumapon K., Waiyamai K.2012Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    7301 LNAI(PART 2),pp. 371-382
    8
    8Cluster-based minority over-sampling for imbalanced datasetsPuntumapon K., Rakthamamon T., Waiyamai K.2016IEICE Transactions on Information and Systems
    E99D(12),pp. 3101-3109
    8
    9An enhanced class-attribute interdependence maximization discretization algorithmSriwanna K., Puntumapon K., Waiyamai K.2012Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    7713 LNAI,pp. 465-476
    6
    10Object-oriented database mining: use of object oriented concepts for improving data classification techniqueWaiyamai K., Songsiri C., Rakthanmanon T.2004Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    3036,pp. 303-309
    6
    11SE-Stream: Dimension projection for evolution-based clustering of high dimensional data streamsChairukwattana R., Kangkachit T., Rakthanmanon T., Waiyamai K.2014Advances in Intelligent Systems and Computing
    245,pp. 365-376
    4
    12CE-Stream: Evaluation-based technique for stream clustering with constraintsSirampuj T., Kangkachit T., Waiyamai K.2013Proceedings of the 2013 10th International Joint Conference on Computer Science and Software Engineering, JCSSE 2013
    ,pp. 217-222
    4
    13Handling concept drift via ensemble and class distribution estimation techniqueLimsetto N., Waiyamai K.2011Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    7121 LNAI(PART 2),pp. 13-26
    3
    14Efficient evolution-based clustering of high dimensional data streams with dimension projectionChairukwattana R., Kangkachit T., Rakthanmanon T., Waiyamai K.20132013 International Computer Science and Engineering Conference, ICSEC 2013
    ,pp. 185-190
    3
    15SED-Stream: Discriminative dimension selection for evolution-based clustering of high dimensional data streamsWaiyamai K., Kangkachit T., Rakthanmanon T., Chairukwattana R.2014International Journal of Intelligent Systems Technologies and Applications
    13(3),pp. 187-201
    3
    16Prediction of enzyme class by using reactive motifs generated from binding and catalytic sitesLiewlom P., Rakthanmanon T., Waiyamai K.2007Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    4632 LNAI,pp. 442-453
    3
    17Concept lattice-based mutation control for reactive motifs discoveryWaiyamai K., Liewlom P., Kangkachit T., Rakthanmanon T.2008Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    5012 LNAI,pp. 767-776
    3
    18AC-Stream: Associative classification over data streams using multiple class association rulesSaengthongloun B., Kangkachit T., Rakthanmanon T., Waiyamai K.2013Proceedings of the 2013 10th International Joint Conference on Computer Science and Software Engineering, JCSSE 2013
    ,pp. 223-228
    3
    19Combining distributed word representation and document distance for short text document clusteringKongwudhikunakorn S., Waiyamai K.2020Journal of Information Processing Systems
    16(2),pp. 277-300
    3
    20Outliers detection in time series data: Case study: Provincial waterworks authorityKhongsrabut I., Waiyamai K.2019ECTI 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
    2
    21Semi-supervised stream clustering using labeled data pointsTreechalong K., Rakthanmanon T., Waiyamai K.2015Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    9166,pp. 281-295
    2
    22Representing large concept hierarchies using lattice data structureKachai Y., Waiyamai K.2001Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
    2035,pp. 186-197
    2
    23Predicting protein structural class from closed protein sequencesRattanakronkul N., Wattarujeekrit T., Waiyamai K.2003Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
    2637,pp. 136-147
    2
    24CM-HMM: Inter-residue contact and HMM-profiles based enzyme subfamily prediction and structure analysisTaewijit S., Waiyamai K.2010Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
    ,pp. 863-868
    1
    25Fuzzy concept lattice-based approach for reactive motifs discoveryKangkachit T., Waiyamai K.2012BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms
    ,pp. 326-330
    1
    26Enzyme classification using reactive motifsKangkachit T., Waiyamai K., Lenca P.2014International Journal of Functional Informatics and Personalised Medicine
    4(3-4),pp. 243-258
    1
    27Evolution-based clustering technique for data streams with uncertaintyMeesuksabai W., Kangkachit T., Waiyamai K.2012Kasetsart Journal - Natural Science
    46(4),pp. 638-652
    1
    28Integrating weight with ensemble to handle changes in class distributionLimsetto N., Waiyamai K.2014Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    8556 LNAI,pp. 91-106
    1
    29ACCD: Associative classification over concept-drifting data streamsWaiyamai K., Kangkachit T., Saengthongloun B., Rakthanmanon T.2014Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    8556 LNAI,pp. 78-90
    1
    30Using rule order difference criterion to decide whether to update class association rulesKongubol K., Rakthanmanon T., Waiyamai K.2010Studies in Computational Intelligence
    283,pp. 241-252
    1
    31Constraint-based discriminative dimension selection for high-dimensional stream clusteringWaiyamai K., Kangkachit T.2018International Journal of Advances in Intelligent Informatics
    4(3),pp. 167-179
    1
    32Thai Equity Mutual Fund Net Asset Value Return Prediction Using Internal FactorsPromptsook N., Waiyamai K.20212021 2nd International Conference on Big Data Analytics and Practices, IBDAP 2021
    ,pp. 119-123
    0
    33Entropy-based attribute clusteringKhomprasert A., Rakthamanon T., Waiyamai K.2019ECTI 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
    34EBITDA time series forecasting case study: Provincial waterworks authorityKhusuwan K., Waiyamai K.2019ECTI 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
    35Short text document clustering using distributed word representation and document distanceKongwudhikunakorn S., Waiyamai K.2019Walailak Journal of Science and Technology
    16(2),pp. 107-119
    0
    36Classification model with subspace data-dependent ballsKlakhaeng N., Kangkachit T., Rakthanmanon T., Waiyamai K.2013Proceedings of the 2013 10th International Joint Conference on Computer Science and Software Engineering, JCSSE 2013
    ,pp. 211-216
    0
    37Bio-Ontology: A System for Searching and Analyzing Biological DataAsawanopakiat P., Thamchaipenet A., Waiyamai K.2003Proceedings of 41st Kasetsart University Annual Conference
    ,pp. 277-285
    0
    38Object-oriened Data Mining System: A Tightly-coupled Association Rule Discovery from Object-oriented DatabasesRakthanmanon T., Songsiri C., Waiyamai K.2003Proceedings of 41st Kasetsart University Annual Conference
    ,pp. 296-306
    0
    39Evolution and affinity-propagation based approach for data stream clusteringSunmood A., Rakthanmanon T., Rakthanmanon T., Waiyamai K.2018ACM International Conference Proceeding Series
    ,pp. 97-101
    0
    40Information gain Aggregation-based Approach for Time Series Shapelets DiscoveryKramakum C., Rakthanmanon T., Rakthanmanon T., Waiyamai K.2018Proceedings of 2018 10th International Conference on Knowledge and Systems Engineering, KSE 2018
    ,pp. 97-101
    0
    41Hierarchical multi-label associative classification for protein function prediction using gene ontologySangsuriyun S., Rakthanmanon T., Waiyamai K.2019Chiang Mai Journal of Science
    46(1),pp. 165-179
    0
    42Using Semantic Approach to Measure Similarity between DocumentsPlubrukarn P., Waiyamai K.2003Proceedings of 41st Kasetsart University Annual Conference
    ,pp. 286-295
    0
    43Formal concept mining: A statistic-based approach for pertinent concept lattice constructionOuypornkochagorn T., Waiyamai K.2004Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    3321,pp. 195-211
    0
    44Comprehensible enzyme function classification using reactive motifs with negative patternsKangkachit T., Waiyamai K.2016Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    9729,pp. 560-568
    0
    45A cost-sensitive based approach for improving associative classification on imbalanced datasetsWaiyamai K., Suwannarattaphoom P.2014Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    8556 LNAI,pp. 31-42
    0