Kitsana Waiyamai

According to our database1, Kitsana Waiyamai authored at least 31 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Entropy-based Approach for Parameter-free Attribute Clustering.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

2018
Information gain Aggregation-based Approach for Time Series Shapelets Discovery.
Proceedings of the 10th International Conference on Knowledge and Systems Engineering, 2018

2016
Cluster-Based Minority Over-Sampling for Imbalanced Datasets.
IEICE Trans. Inf. Syst., 2016

Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

2015
Semi-Supervised Stream Clustering Using Labeled Data Points.
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.
Int. J. Intell. Syst. Technol. Appl., 2014

Enzyme classification using reactive motifs.
Int. J. Funct. Informatics Pers. Medicine, 2014

A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

ACCD: Associative Classification over Concept-Drifting Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Integrating Weight with Ensemble to Handle Changes in Class Distribution.
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.
Proceedings of the Knowledge and Systems Engineering, 2013

2012
A Pruning-Based Approach for Searching Precise and Generalized Region for Synthetic Minority Over-Sampling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Fuzzy Concept Lattice-based Approach for Reactive Motifs Discovery.
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.
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.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

Handling Concept Drift via Ensemble and Class Distribution Estimation Technique.
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.
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.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Hierarchical Multi-label Associative Classification (HMAC) using negative rules.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2008
Concept Lattice-Based Mutation Control for Reactive Motifs Discovery.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007
E-Stream: Evolution-Based Technique for Stream Clustering.
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.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2005
Applying Association Rule Discovery to Select Laws and Articles for Lawsuit.
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.
Proceedings of the Computational Science, 2004

Formal Concept Mining: A Statistic-Based Approach for Pertinent Concept Lattice Construction.
Proceedings of the Advances in Computer Science, 2004

2003
Predicting Protein Structural Class from Closed Protein Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

2001
Representing Large Concept Hierarchies Using Lattice Data Structure.
Proceedings of the Knowledge Discovery and Data Mining, 2001

2000
Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices.
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.
Proceedings of the Actes du XVIème Congrès INFORSID, Montpellier, France, 12-15 mai, 1998, 1998

Querying Concept Lattices in Object Databases.
Proceedings of the Third International Conference on Integrated Design and Process Technology, IDPT, 1998

1997
Towards an Object Database Approach for Managing Concept Lattices.
Proceedings of the Conceptual Modeling, 1997


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