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Kitsana Waiyamai
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2020 – today
- 2024
- [c30]Hrang Kap Lian, Kitsana Waiyamai, Slavakis Konstantinos, Choochart Haruechaiyasak:
Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output. KST 2024: 178-183 - 2023
- [c29]Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai:
CCE-Stream: Semi-supervised Stream Clustering Using Color-based Constraints. JCSSE 2023: 43-48 - 2021
- [c28]Asanee Kawtrakul, Hutchatai Chanlekha, Kitsana Waiyamai, Thanapat Kangkachit, Laurent d'Orazio, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos:
Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case Study. IEEE BigData 2021: 3407-3415 - 2020
- [j4]Supavit Kongwudhikunakorn
, Kitsana Waiyamai:
Combining Distributed Word Representation and Document Distance for Short Text Document Clustering. J. Inf. Process. Syst. 16(2): 277-300 (2020)
2010 – 2019
- 2019
- [c27]Adison Khomprasert, Thanawin Rakthanmanon, Kitsana Waiyamai:
Entropy-based Approach for Parameter-free Attribute Clustering. MLDM (1) 2019: 333-342 - 2018
- [c26]Chutimol Kramakum, Thanawin Rakthanmanon, Kitsana Waiyamai:
Information gain Aggregation-based Approach for Time Series Shapelets Discovery. KSE 2018: 97-101 - 2016
- [j3]Kamthorn Puntumapon, Thanawin Rakthanmanon, Kitsana Waiyamai:
Cluster-Based Minority Over-Sampling for Imbalanced Datasets. IEICE Trans. Inf. Syst. 99-D(12): 3101-3109 (2016) - [c25]Thanapat Kangkachit
Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns. MLDM 2016: 560-568 - 2015
- [c24]Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai:
Semi-Supervised Stream Clustering Using Labeled Data Points. MLDM 2015: 281-295 - 2014
- [j2]Thanapat Kangkachit
Enzyme classification using reactive motifs. Int. J. Funct. Informatics Pers. Medicine 4(3/4): 243-258 (2014) - [j1]Kitsana Waiyamai, Thanapat Kangkachit
SED-Stream: discriminative dimension selection for evolution-based clustering of high dimensional data streams. Int. J. Intell. Syst. Technol. Appl. 13(3): 187-201 (2014) - [c23]Kitsana Waiyamai, Phoonperm Suwannarattaphoom:
A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets. MLDM 2014: 31-42 - [c22]Kitsana Waiyamai, Thanapat Kangkachit
ACCD: Associative Classification over Concept-Drifting Data Streams. MLDM 2014: 78-90 - [c21]Nachai Limsetto, Kitsana Waiyamai:
Integrating Weight with Ensemble to Handle Changes in Class Distribution. MLDM 2014: 91-106 - 2013
- [c20]Rattanapong Chairukwattana, Thanapat Kangkachit
SE-Stream: Dimension Projection for Evolution-Based Clustering of High Dimensional Data Streams. KSE (2) 2013: 365-376 - 2012
- [c19]Kittakorn Sriwanna, Kamthorn Puntumapon, Kitsana Waiyamai:
An Enhanced Class-Attribute Interdependence Maximization Discretization Algorithm. ADMA 2012: 465-476 - [c18]Thanapat Kangkachit, Kitsana Waiyamai:
Fuzzy Concept Lattice-based Approach for Reactive Motifs Discovery. BIOINFORMATICS 2012: 326-330 - [c17]Kamthorn Puntumapon, Kitsana Waiyamai:
A Pruning-Based Approach for Searching Precise and Generalized Region for Synthetic Minority Over-Sampling. PAKDD (2) 2012: 371-382 - 2011
- [c16]Nachai Limsetto, Kitsana Waiyamai:
Handling Concept Drift via Ensemble and Class Distribution Estimation Technique. ADMA (2) 2011: 13-26 - [c15]Wicha Meesuksabai, Thanapat Kangkachit
HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty. ADMA (2) 2011: 27-40 - 2010
- [c14]Siriwon Taewijit, Kitsana Waiyamai:
CM-HMM: Inter-residue contact and HMM-profiles based enzyme subfamily prediction and structure analysis. IEEE ICCI 2010: 863-868 - [c13]Sawinee Sangsuriyun, Sanparith Marukatat
Hierarchical Multi-label Associative Classification (HMAC) using negative rules. IEEE ICCI 2010: 919-924 - [p1]Kritsadakorn Kongubol, Thanawin Rakthanmanon, Kitsana Waiyamai:
Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules. Advances in Intelligent Information and Database Systems 2010: 241-252
2000 – 2009
- 2008
- [c12]Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit
Concept Lattice-Based Mutation Control for Reactive Motifs Discovery. PAKDD 2008: 767-776 - 2007
- [c11]Peera Liewlom, Thanawin Rakthanmanon, Kitsana Waiyamai:
Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites. ADMA 2007: 442-453 - [c10]Komkrit Udommanetanakit, Thanawin Rakthanmanon, Kitsana Waiyamai:
E-Stream: Evolution-Based Technique for Stream Clustering. ADMA 2007: 605-615 - 2005
- [c9]Kitsana Waiyamai, Teerawat Pongsiripreeda:
Applying Association Rule Discovery to Select Laws and Articles for Lawsuit. PACIS 2005: 90 - 2004
- [c8]Taweechai Ouypornkochagorn, Kitsana Waiyamai:
Formal Concept Mining: A Statistic-Based Approach for Pertinent Concept Lattice Construction. ASIAN 2004: 195-211 - [c7]Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon:
Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique. International Conference on Computational Science 2004: 303-309 - 2003
- [c6]N. Rattanakronkul, T. Wattarujeekrit, Kitsana Waiyamai:
Predicting Protein Structural Class from Closed Protein Sequences. PAKDD 2003: 136-147 - 2001
- [c5]Yanee Kachai, Kitsana Waiyamai:
Representing Large Concept Hierarchies Using Lattice Data Structure. PAKDD 2001: 186-197 - 2000
- [c4]Kitsana Waiyamai, Lotfi Lakhal:
Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices. ECML 2000: 437-445
1990 – 1999
- 1998
- [c3]Kitsana Waiyamai, Rafik Taouil, Lotfi Lakhal:
Querying Concept Lattices in Object Databases. IADT 1998: 280-289 - [c2]Kitsana Waiyamai:
Object modeling and querying of concept lattice-based applications. INFORSID 1998: 437-455 - 1997
- [c1]Kitsana Waiyamai, Rafik Taouil, Lotfi Lakhal:
Towards an Object Database Approach for Managing Concept Lattices. ER 1997: 299-312
Coauthor Index
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