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ORCIDKittisak Kerdprasop
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2020 – today
- 2023
[c26]Anupong Banjongkan, Nittaya Kerdprasop, Anusara Hirunyawanakul, Kittisak Kerdprasop:
PM2.5 Forecasting Model based on Linear and Non-linear Hybrid Algorithm. KST 2023: 1-6- 2022
- [c25]Kittisak Kerdprasop
, Paradee Chuaybamroong, Nittaya Kerdprasop:
Food Production Forecasting with Time Series and Ensemble Modeling Methods. AICCC 2022: 59-65 - [c24]Isara Soisom, Kittisak Kerdprasop, Nittaya Kerdprasop:
The Search for Areas with High Solar Energy Based on Clustering Analysis. AICCC 2022: 78-82
2010 – 2019
- 2019
- [c23]Nittaya Kerdprasop, Kittisak Kerdprasop, Paradee Chuaybamroong:
Categorical Modeling Method to Analyze Factors Relating to Longevity of Populations in the East and Southeast Asia. AICCC 2019: 14-19 - [c22]Kittisak Kerdprasop, Nittaya Kerdprasop, Paradee Chuaybamroong:
Forecasting Dengue Incidence with the Chi-squared Automatic Interaction Detection Technique. AICCC 2019: 37-42 - [c21]Nittaya Kerdprasop, Kittisak Kerdprasop, Paradee Chuaybamroong:
Ensemble Modeling Method to Predict Life Expectancy of Population in High-Income Countries: Japan and Finland. FRUCT 2019: 153-161 - [c20]Kittisak Kerdprasop, Nittaya Kerdprasop, Kacha Chansilp, Paradee Chuaybamroong:
The Use of Spaceborne and Oceanic Sensors to Model Dengue Incidence in the Outbreak Surveillance System. ICCSA (1) 2019: 447-460 - [c19]Nittaya Kerdprasop, Kacha Chansilp, Kittisak Kerdprasop, Paradee Chuaybamroong:
Anomaly Detection with Machine Learning Technique to Support Smart Logistics. ICCSA (1) 2019: 461-472 - 2018
- [c18]Nittaya Kerdprasop, Pumrapee Poomka, Paradee Chuaybamroong, Kittisak Kerdprasop:
Forest Fire Area Estimation using Support Vector Machine as an Approximator. IJCCI 2018: 269-273 - [c17]Kittisak Kerdprasop, Paradee Chuaybamroong, Nittaya Kerdprasop:
Modeling Method for Temperature Anomaly Analysis. IJCCI 2018: 274-280 - 2016
- [c16]Kittisak Kerdprasop, Nittaya Kerdprasop:
Geo-Information Knowledge Base System for Drought Pattern Search. ICCSA (3) 2016: 332-344 - [c15]Kittisak Kerdprasop, Nittaya Kerdprasop:
Remote Sensing Based Model Induction for Drought Monitoring and Rainfall Estimation. ICCSA (3) 2016: 356-368 - 2011
- [c14]Nittaya Kerdprasop, Kittisak Kerdprasop:
A Heuristic-Based Decision Tree Induction Method for Noisy Data. FGIT-DTA/BSBT 2011: 1-10 - [c13]Nittaya Kerdprasop, Kittisak Kerdprasop:
Optimizing Database Queries with Materialized Views and Data Mining Models. FGIT-DTA/BSBT 2011: 11-20 - [c12]Kittisak Kerdprasop, Nittaya Kerdprasop:
Integrating Inductive Knowledge into the Inference System of Biomedical Informatics. FGIT-DTA/BSBT 2011: 133-142 - [c11]Nittaya Kerdprasop, Kittisak Kerdprasop:
Predicting Rare Classes of Primary Tumors with Over-Sampling Techniques. FGIT-DTA/BSBT 2011: 151-160 - [i2]Nittaya Kerdprasop, Kittisak Kerdprasop:
Higher Order Programming to Mine Knowledge for a Modern Medical Expert System. CoRR abs/1107.4651 (2011) - 2010
- [i1]Nattapon Pannurat, Nittaya Kerdprasop, Kittisak Kerdprasop:
Database Reverse Engineering based on Association Rule Mining. CoRR abs/1004.3272 (2010)
2000 – 2009
- 2009
- [c10]Kittisak Kerdprasop, Nittaya Kerdprasop:
SUT-Miner: A Knowledge Mining and Managing System for Medical Databases. DEXA Workshops 2009: 318-322 - 2008
- [c9]Kittisak Kerdprasop, Nittaya Kerdprasop:
A Rough Set Approach To Personalization In Web-Based Learning Systems. e-Learning 2008: 60-67 - 2007
- [c8]Nittaya Kerdprasop, Kittisak Kerdprasop:
Semantic Knowledge Integration to Support Inductive Query Optimization. DaWaK 2007: 157-169 - [c7]Kittisak Kerdprasop, Nittaya Kerdprasop, Apichai Ritthongchailert:
Query Answering in Relational Inductive Databases. DEXA Workshops 2007: 329-333 - 2006
- [c6]Nittaya Kerdprasop, Kittisak Kerdprasop:
Density Estimation Technique for Data Stream Classification. DEXA Workshops 2006: 662-666 - 2005
- [c5]Kittisak Kerdprasop, Nittaya Kerdprasop, Junping Sun:
Density Biased Reservoir Sampling for Clustering. Artificial Intelligence and Applications 2005: 95-100 - [c4]Kittisak Kerdprasop, Nittaya Kerdprasop, Pairote Sattayatham:
Weighted K-Means for Density-Biased Clustering. DaWaK 2005: 488-497 - [c3]Kittisak Kerdprasop, Nittaya Kerdprasop, Pairote Sattayatham:
Density-Biased Clustering Based on Reservoir Sampling. DEXA Workshops 2005: 1122-1126 - [c2]Nittaya Kerdprasop, Kittisak Kerdprasop:
Multiple Principal Component Analyses and Projective Clustering. DEXA Workshops 2005: 1132-1136 - 2000
- [c1]Kittisak Kerdprasop, Nittaya Kerdprasop:
A New Approach to Active Rule Analysis and Reorganization. Artificial Intelligence and Soft Computing 2000: 178-184
1990 – 1999
- 1999
- [b1]Kittisak Kerdprasop:
Active Database Rule Set Reduction by Knowledge Discovery. Nova Southeastern University, Fort Lauderdale, Florida, USA, 1999
Coauthor Index
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