Kitsana Waiyamai
Kitsana Waiyamai
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E-stream: Evolution-based technique for stream clustering
K Udommanetanakit, T Rakthanmanon, K Waiyamai
International conference on advanced data mining and applications, 605-615, 2007
Hue-stream: Evolution-based clustering technique for heterogeneous data streams with uncertainty
W Meesuksabai, T Kangkachit, K Waiyamai
International Conference on Advanced Data Mining and Applications, 27-40, 2011
Improving quality of graduate students by data mining
K Waiyamai
Department of Computer Engineering, Faculty of Engineering, Kasetsart …, 2003
Knowledge discovery from very large databases using frequent concept lattices
K Waiyamai, L Lakhal
European Conference on Machine Learning, 437-445, 2000
A pruning-based approach for searching precise and generalized region for synthetic minority over-sampling
K Puntumapon, K Waiyamai
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 371-382, 2012
Towards an object database approach for managing concept lattices
K Waiyamai, R Taouil, L Lakhal
International Conference on Conceptual Modeling, 299-312, 1997
Hierarchical multi-label associative classification (HMAC) using negative rules
S Sangsuriyun, S Marukatat, K Waiyamai
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 919-924, 2010
Cluster-based minority over-sampling for imbalanced datasets
K Puntumapon, T Rakthamamon, K Waiyamai
IEICE TRANSACTIONS on Information and Systems 99 (12), 3101-3109, 2016
Prediction of human leukocyte antigen gene using k-nearest neighbour classifier based on spectrum kernel
W Shoombuatong, P Mekha, K Waiyamai, S Cheevadhanarak, ...
ScienceAsia 39 (1), 42-49, 2013
Object-oriented database mining: Use of object oriented concepts for improving data classification technique
K Waiyamai, C Songsiri, T Rakthanmanon
International Conference on Computational Science, 303-309, 2004
Combining association rule discovery and data classification for protein structure prediction
N Rattanakronkul, K Waiyamai
The International Conference on Bio-informatics (INCOP’2002), 2002
Se-stream: Dimension projection for evolution-based clustering of high dimensional data streams
R Chairukwattana, T Kangkachit, T Rakthanmanon, K Waiyamai
Knowledge and Systems Engineering, 365-376, 2014
Efficient evolution-based clustering of high dimensional data streams with dimension projection
R Chairukwattana, T Kangkachit, T Rakthanmanon, K Waiyamai
2013 International Computer Science and Engineering Conference (ICSEC), 185-190, 2013
DCR: Discretization using class information to reduce number of intervals
P Pongaksorn, T Rakthanmanon, K Waiyamai
Quality issues, measures of interestingness and evaluation of data mining …, 2009
SED–Stream: discriminative dimension selection for evolution–based clustering of high dimensional data streams
K Waiyamai, T Kangkachit, T Rakthanmanon, R Chairukwattana
International Journal of Intelligent Systems Technologies and Applications …, 2014
An enhanced class-attribute interdependence maximization discretization algorithm
K Sriwanna, K Puntumapon, K Waiyamai
International Conference on Advanced Data Mining and Applications, 465-476, 2012
Handling concept drift via ensemble and class distribution estimation technique
N Limsetto, K Waiyamai
International Conference on Advanced Data Mining and Applications, 13-26, 2011
Data Mining Techniques for Developing Education in Engineering Faculty
K Waiyamai, T Rakthanmanon, C Songsiri
NECTEC Technical Journal 3 (11), 134-142, 2001
Combining distributed word representation and document distance for short text document clustering
S Kongwudhikunakorn, K Waiyamai
Journal of Information Processing Systems 16 (2), 277-300, 2020
EBITDA time series forecasting case study: Provincial Waterworks Authority
K Khusuwan, K Waiyamai
2019 Joint International Conference on Digital Arts, Media and Technology …, 2019
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