Kitsana Waiyamai

36 papers A 1B 3C 3Misc 1Journal 5Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BD-GNN: Integrating Spatial and Administrative Boundaries in Property Valuation Using Graph Neural Networks. ISPRS Int. J. Geo Inf. Jetana Somkamnueng, Kitsana Waiyamai
2024	—	`conf`	Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output. KST Hrang Kap Lian, Kitsana Waiyamai, Slavakis Konstantinos, Choochart Haruechaiyasak
2023	—	`conf`	CCE-Stream: Semi-supervised Stream Clustering Using Color-based Constraints. JCSSE Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai
2021	—	`conf`	Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case Study. IEEE BigData Asanee Kawtrakul, Hutchatai Chanlekha, Kitsana Waiyamai, Thanapat Kangkachit, Laurent d'Orazio, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos
2020	J	`jnl`	Combining Distributed Word Representation and Document Distance for Short Text Document Clustering. J. Inf. Process. Syst. Supavit Kongwudhikunakorn, Kitsana Waiyamai
2019	—	`conf`	Entropy-based Approach for Parameter-free Attribute Clustering. MLDM (1) Adison Khomprasert, Thanawin Rakthanmanon, Kitsana Waiyamai
2018	—	`conf`	Information gain Aggregation-based Approach for Time Series Shapelets Discovery. KSE Chutimol Kramakum, Thanawin Rakthanmanon, Kitsana Waiyamai
2016	J	`jnl`	Cluster-Based Minority Over-Sampling for Imbalanced Datasets. IEICE Trans. Inf. Syst. Kamthorn Puntumapon, Thanawin Rakthanmanon, Kitsana Waiyamai
2016	—	`conf`	Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns. MLDM Thanapat Kangkachit, Kitsana Waiyamai
2015	—	`conf`	Semi-Supervised Stream Clustering Using Labeled Data Points. MLDM Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai
2014	—	`conf`	A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets. MLDM Kitsana Waiyamai, Phoonperm Suwannarattaphoom
2014	—	`conf`	ACCD: Associative Classification over Concept-Drifting Data Streams. MLDM Kitsana Waiyamai, Thanapat Kangkachit, Bordin Saengthongloun, Thanawin Rakthanmanon
2014	J	`jnl`	Enzyme classification using reactive motifs. Int. J. Funct. Informatics Pers. Medicine Thanapat Kangkachit, Kitsana Waiyamai, Philippe Lenca
2014	—	`conf`	Integrating Weight with Ensemble to Handle Changes in Class Distribution. MLDM Nachai Limsetto, Kitsana Waiyamai
2014	J	`jnl`	SED-Stream: discriminative dimension selection for evolution-based clustering of high dimensional data streams. Int. J. Intell. Syst. Technol. Appl. Kitsana Waiyamai, Thanapat Kangkachit, Thanawin Rakthanmanon, Rattanapong Chairukwattana
2013	—	`conf`	SE-Stream: Dimension Projection for Evolution-Based Clustering of High Dimensional Data Streams. KSE (2) Rattanapong Chairukwattana, Thanapat Kangkachit, Thanawin Rakthanmanon, Kitsana Waiyamai
2012	—	`conf`	A Pruning-Based Approach for Searching Precise and Generalized Region for Synthetic Minority Over-Sampling. PAKDD (2) Kamthorn Puntumapon, Kitsana Waiyamai
2012	C	`conf`	An Enhanced Class-Attribute Interdependence Maximization Discretization Algorithm. ADMA Kittakorn Sriwanna, Kamthorn Puntumapon, Kitsana Waiyamai
2012	—	`conf`	Fuzzy Concept Lattice-based Approach for Reactive Motifs Discovery. BIOINFORMATICS Thanapat Kangkachit, Kitsana Waiyamai
2011	—	`conf`	HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty. ADMA (2) Wicha Meesuksabai, Thanapat Kangkachit, Kitsana Waiyamai
2011	—	`conf`	Handling Concept Drift via Ensemble and Class Distribution Estimation Technique. ADMA (2) Nachai Limsetto, Kitsana Waiyamai
2010	—	`conf`	CM-HMM: Inter-residue contact and HMM-profiles based enzyme subfamily prediction and structure analysis. IEEE ICCI Siriwon Taewijit, Kitsana Waiyamai
2010	—	`conf`	Hierarchical Multi-label Associative Classification (HMAC) using negative rules. IEEE ICCI Sawinee Sangsuriyun, Sanparith Marukatat, Kitsana Waiyamai
2010	—	`ch.`	Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules. Advances in Intelligent Information and Database Systems Kritsadakorn Kongubol, Thanawin Rakthanmanon, Kitsana Waiyamai
2008	B	`conf`	Concept Lattice-Based Mutation Control for Reactive Motifs Discovery. PAKDD Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit, Thanawin Rakthanmanon
2007	C	`conf`	E-Stream: Evolution-Based Technique for Stream Clustering. ADMA Komkrit Udommanetanakit, Thanawin Rakthanmanon, Kitsana Waiyamai
2007	C	`conf`	Prediction of Enzyme Class by Using ADMA Peera Liewlom, Thanawin Rakthanmanon, Kitsana Waiyamai
2005	—	`conf`	Applying Association Rule Discovery to Select Laws and Articles for Lawsuit. PACIS Kitsana Waiyamai, Teerawat Pongsiripreeda
2004	—	`conf`	Formal Concept Mining: A Statistic-Based Approach for Pertinent Concept Lattice Construction. ASIAN Taweechai Ouypornkochagorn, Kitsana Waiyamai
2004	Misc	`conf`	Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique. International Conference on Computational Science Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon
2003	B	`conf`	Predicting Protein Structural Class from Closed Protein Sequences. PAKDD N. Rattanakronkul, T. Wattarujeekrit, Kitsana Waiyamai
2001	B	`conf`	Representing Large Concept Hierarchies Using Lattice Data Structure. PAKDD Yanee Kachai, Kitsana Waiyamai
2000	—	`conf`	Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices. ECML Kitsana Waiyamai, Lotfi Lakhal
1998	—	`conf`	Object modeling and querying of concept lattice-based applications. INFORSID Kitsana Waiyamai
1998	—	`conf`	Querying Concept Lattices in Object Databases. IADT Kitsana Waiyamai, Rafik Taouil, Lotfi Lakhal
1997	A	`conf`	Towards an Object Database Approach for Managing Concept Lattices. ER Kitsana Waiyamai, Rafik Taouil, Lotfi Lakhal