Kitsana Waiyamai

According to our database, Kitsana Waiyamai authored at least 34 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

CCE-Stream: Semi-supervised Stream Clustering Using Color-based Constraints.

Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the 20th IEEE International Joint Conference on Computer Science and Software Engineering, 2023

2021

Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case Study.

Asanee Kawtrakul, Hutchatai Chanlekha, Kitsana Waiyamai, Thanapat Kangkachit, Laurent d'Orazio, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Combining Distributed Word Representation and Document Distance for Short Text Document Clustering.

Supavit Kongwudhikunakorn, Kitsana Waiyamai

J. Inf. Process. Syst., 2020

2019

Entropy-based Approach for Parameter-free Attribute Clustering.

Adison Khomprasert, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

2018

Information gain Aggregation-based Approach for Time Series Shapelets Discovery.

Chutimol Kramakum, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the 10th International Conference on Knowledge and Systems Engineering, 2018

2016

Cluster-Based Minority Over-Sampling for Imbalanced Datasets.

Kamthorn Puntumapon, Thanawin Rakthanmanon, Kitsana Waiyamai

IEICE Trans. Inf. Syst., 2016

Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns.

Thanapat Kangkachit, Kitsana Waiyamai

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

2015

Semi-Supervised Stream Clustering Using Labeled Data Points.

Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

2014

SED-Stream: discriminative dimension selection for evolution-based clustering of high dimensional data streams.

Kitsana Waiyamai, Thanapat Kangkachit, Thanawin Rakthanmanon, Rattanapong Chairukwattana

Int. J. Intell. Syst. Technol. Appl., 2014

Enzyme classification using reactive motifs.

Thanapat Kangkachit, Kitsana Waiyamai, Philippe Lenca

Int. J. Funct. Informatics Pers. Medicine, 2014

A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets.

Kitsana Waiyamai, Phoonperm Suwannarattaphoom

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

ACCD: Associative Classification over Concept-Drifting Data Streams.

Kitsana Waiyamai, Thanapat Kangkachit, Bordin Saengthongloun, Thanawin Rakthanmanon

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Integrating Weight with Ensemble to Handle Changes in Class Distribution.

Nachai Limsetto, Kitsana Waiyamai

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

2013

SE-Stream: Dimension Projection for Evolution-Based Clustering of High Dimensional Data Streams.

Rattanapong Chairukwattana, Thanapat Kangkachit, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the Knowledge and Systems Engineering, 2013

2012

A Pruning-Based Approach for Searching Precise and Generalized Region for Synthetic Minority Over-Sampling.

Kamthorn Puntumapon, Kitsana Waiyamai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Fuzzy Concept Lattice-based Approach for Reactive Motifs Discovery.

Thanapat Kangkachit, Kitsana Waiyamai

Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

An Enhanced Class-Attribute Interdependence Maximization Discretization Algorithm.

Kittakorn Sriwanna, Kamthorn Puntumapon, Kitsana Waiyamai

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty.

Wicha Meesuksabai, Thanapat Kangkachit, Kitsana Waiyamai

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

Handling Concept Drift via Ensemble and Class Distribution Estimation Technique.

Nachai Limsetto, Kitsana Waiyamai

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules.

Kritsadakorn Kongubol, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the Advances in Intelligent Information and Database Systems, 2010

CM-HMM: Inter-residue contact and HMM-profiles based enzyme subfamily prediction and structure analysis.

Siriwon Taewijit, Kitsana Waiyamai

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Hierarchical Multi-label Associative Classification (HMAC) using negative rules.

Sawinee Sangsuriyun, Sanparith Marukatat, Kitsana Waiyamai

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2008

Concept Lattice-Based Mutation Control for Reactive Motifs Discovery.

Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit, Thanawin Rakthanmanon

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

E-Stream: Evolution-Based Technique for Stream Clustering.

Komkrit Udommanetanakit, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

Prediction of Enzyme Class by Using <i>Reactive Motifs</i> Generated from Binding and Catalytic Sites.

Peera Liewlom, Thanawin Rakthanmanon, Kitsana Waiyamai

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2005

Applying Association Rule Discovery to Select Laws and Articles for Lawsuit.

Kitsana Waiyamai, Teerawat Pongsiripreeda

Proceedings of the Pacific Asia Conference on Information Systems, 2005

2004

Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique.

Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon

Proceedings of the Computational Science, 2004

Formal Concept Mining: A Statistic-Based Approach for Pertinent Concept Lattice Construction.

Taweechai Ouypornkochagorn, Kitsana Waiyamai

Proceedings of the Advances in Computer Science, 2004

2003

Predicting Protein Structural Class from Closed Protein Sequences.

N. Rattanakronkul, T. Wattarujeekrit, Kitsana Waiyamai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

2001

Representing Large Concept Hierarchies Using Lattice Data Structure.

Yanee Kachai, Kitsana Waiyamai

Proceedings of the Knowledge Discovery and Data Mining, 2001

2000

Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices.

Kitsana Waiyamai, Lotfi Lakhal

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1998

Object modeling and querying of concept lattice-based applications.

Kitsana Waiyamai

Proceedings of the Actes du XVIème Congrès INFORSID, Montpellier, France, 12-15 mai, 1998, 1998

Querying Concept Lattices in Object Databases.

Kitsana Waiyamai, Rafik Taouil, Lotfi Lakhal

Proceedings of the Third International Conference on Integrated Design and Process Technology, IDPT, 1998

1997

Towards an Object Database Approach for Managing Concept Lattices.

Kitsana Waiyamai, Rafik Taouil, Lotfi Lakhal

Proceedings of the Conceptual Modeling, 1997