Office
管(CM) 4056
Phone
07-5252000 #4728
E-Mail
wplee (AT) mail.nsysu.edu.tw
Homepage
https://wplee.mis.nsysu.edu.tw/
Research Interests
1.Artificial Intelligence
2.Data Mining
3.Machine Learning
4.Bio-Inspired Systems
Journal Articles
- Y.-L. Peng, W.-P. Lee, Valuation of Stocks by Integrating Discounted Cash Flow with Imitation Learning and Guided Policy, IEEE Transactions on Automation Science and Engineering, Vol.21, 2023 (SCIE)
- I.-C. Lu, J.-Y. Huang, W.-P. Lee*, An Emotion-Driven and Topic-Aware Dialogue Framework for Human-Robot Interaction, Advanced Robotics, Vol.38, 2023 (SCIE)
- Y.-L. Peng, W.-P. Lee, Practical Guidelines for Resolving the Loss Divergence Caused by the Root-Mean-Squared Propagation Optimizer, Applied Soft Computing, 2023 (SCIE)
- H.-Y. Wang, J.-Y. Huang, W.-P. Lee, Integrating Scene Image and Conversational Text for Human-Machine Dialogue, International Journal of Semantic Computing, Vol.16, No.3, 2022, pp.425-447
- J.-Y. Huang, W.-P. Lee, K.-T. Lee, Predicting Adverse Drug Reactions from Social Media Posts: Data Balance, Feature Selection and Deep Learning, Healthcare, Vol.10, No.4, 2022 (SSCI)
- J.-Y. Huang, W.-P. Lee*, Exploring the Effect of Emotions in Human-Machine Dialog: An Approach toward Integration of Emotional and Rational Information, Knowledge-Based Systems, Vol.243:108425, 2022 (SCI)
- Y.-L. Peng, W.-P. Lee, Data Selection to Avoid Over-Fitting for Foreign Exchange Intraday Trading with Machine Learning, Applied Soft Computing, Vol.108:107461, 2021 (SCI)
- C.-H. Hsiao, W.-P. Lee*, OPIIoT: Design and Implementation of an Open Communication Protocol Platform for Industrial Internet of Things, Internet of Things, Vol.16:100441, 2021 (SCI)
- Y.-F. Hsu, W.-P. Lee, Evaluation of the Going-concern Status for Companies: An Ensemble Framework-based Model, Journal of Forecasting, Vol.39, No.4, 2020, pp.687-706 (SSCI)
- J.-Y. Huang, W.-P. Lee, C.-C. Chen, B.-W. Dong, Developing Emotion-Aware Human-Robot Dialogues for Domain-Specific and Goal-Oriented Tasks, Robotics, Vol.9, No.2, 2020
- J.-Y. Huang, W.-P. Lee*, T.-A. Lin, Developing Context-Aware Dialogue Services for a Cloud-Based Robotic System, IEEE Access, Vol.7, 2019 (SCI)
- C.-H. Chen, W.-P. Lee*, J.-Y. Huang, Tracking and recognizing emotions in short text messages from online chatting services, Information Processing and Management, Vol.54, No.6, 2018, pp.1325-1344 (SSCI)
- W.-P. Lee*, J.-Y. Huang, S.-H. Chang, K.-T. Lee, C.-T. Lai, Predicting Drug Side Effects Using Data Analytics and the Integration of Multiple Data Sources, IEEE Access, Vol.5, 2017 (SCI)
- W.-P. Lee*, C.-T. Chen, J.-Y. Huang, J.-Y. Liang, A Smartphone-Based Activity-Aware Framework for Music Streaming Recommendation, Knowledge-Based Systems, Vol.131, 2017, pp.70-82 (SCI)
- Y.-T. Hsiao, W.-P. Lee*, W. Yang, S. Müller, C. Flamm, Practical Guideline for Incorporating Knowledge-Based and Data-Driven Strategies into Biological Gene Network Inference, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.13, No.1, 2016, pp.64-75 (SCI)
- W.-P. Lee*, C.-H. Lin, Combining Expression Data and Knowledge Ontology for Gene Clustering and Network Reconstruction, Cognitive Computation, Vol.8, No.2, 2016, pp.217-227 (SCI)
- W.-P. Lee*, C.-Y. Ma, Enhancing Collaborative Recommendation Performance by Combining User Preference and Trust-Distrust Propagation in Social Networks, Knowledge-Based Systems, Vol.106, 2016, pp.125-134 (SCI)
- W.-P. Lee*, G.-Y. Tseng, Incorporating Contextual Information and Collaborative Filtering Methods for Multimedia Recommendations in a Mobile Environment, Multimedia Tools and Applications, Vol.75, No.24, 2016, pp.16719-16739 (SCI)
- W.-P. Lee*, K.-H. Lee, Making Smartphone Service Recommendations by Predicting Users' Intentions: A Context-Aware Approach, Information Sciences, Vol.277, 2014, pp.21-35 (SCI)
- W.-P. Lee*, C. Kaoli, J.-Y. Huang, A Smart TV System with Body-Gesture Control, Tag-Based Rating and Context-Aware Recommendation, Knowledge-Based Systems, Vol.56, 2014, pp.167-178 (SCI)
- Y.-T. Hsiao*, W.-P. Lee*, Reverse Engineering Gene Regulatory Networks: Coupling an Optimization Algorithm with a Parameter Identification Technique, BMC Bioinformatics, Vol.15, 2014 (SCI)
- W.-P. Lee*, Y.-T. Hsiao, W.-C. Hwang, Designing a Parallel Evolutionary Algorithm for Inferring Gene Networks on the Cloud Computing Environment, BMC Systems Biology, Vol.8, No.5, 2014 (SCI)
- Y.-T. Hsiao, W.-P. Lee*, R.-Y. Wang, A Hybrid Approach of Dimension Partition and Adaptive Velocity Control to Enhance Performance of Particle Swarm Optimization, Soft Computing, Vol.18, No.12, 2014 (SCI)
- T.-H. Yang, W.-P. Lee*, A Service-Oriented Framework for Developing Home Robots, International Journal of Advanced Robotic Systems, Vol.10, 2013 (SCI)
- Y.-T. Hsiao, W.-P. Lee*, Inferring Robust Gene networks from Expression Data by a Sensitivity-Based Incremental Evolution Method, BMC Bioinformatics, Vol.13, 2012 (SCI)
- W.-P. Lee*, Y.-T. Hsiao, Inferring Gene Regulatory Networks Using a Hybrid GA-PSO Approach with Numerical Constraints and Network Decomposition, Information Sciences, Vol.188, No.1, 2012, pp.80-99 (SCI)
- W.-P. Lee*, Y.-T. Hsiao, An Adaptive GA-PSO Approach with Gene Clustering to Infer S-System Models of Gene Regulatory Networks, The Computer Journal, Vol.54, No.9, 2011, pp.1449-1464 (SCI)
- W.-P. Lee*, H.-Y. Ke, Distributing Evolutionary Computation in a Networked Multi-Agent Environment, Mathematical and Computer Modelling, Vol.53, No.5, 2011, pp.1167-1181 (SCI)
- W.-P. Lee*, T.-H. Yang, Combining GRN Modeling and Demonstration-Based Programming for Robot Control, Neural Computing and Applications, Vol.20, No.6, 2011, pp.909-921 (SCI)
- W.-P. Lee*, L.-J. Liu, C.-A. Chou, A Component-Based Framework for Rapidly Prototyping Online Board Games, International Journal of Computers and Applications, Vol.33, No.4, 2011, pp.293-302
- W.-P. Lee*, W.-S. Tzou*, Fast Revelation of the Motif Mode for a Yeast Protein Interaction Network through Intelligent Agent-Based Distributed Computing, Protein and Peptide Letters, Vol.17, No.9, 2010, pp.1091-1101 (SCI)
- W.-P. Lee*, T.-H. Yang, B. Jeng, Building Neural Network-Based Behavior Systems for Emotion-Based Pet Robots, International Journal of Modelling, Identification and Control, Vol.11, No.1-2, 2010, pp.115-123
- W.-P. Lee*, J.-S. Jong, T.-H. Yang, Evolving Behavior Sequences for a Humanoid Entertainment Robot, Artificial Life and Robotics, Vol.15, No.3, 2010, pp.341-346
- W.-P. Lee*, W.-S. Tzou*, Computational Methods for Discovering Gene Networks from Expression Data, Briefings in Bioinformatics, Vol.10, No.4, 2009, pp.408-423 (SCI)
- W.-P. Lee*, K.-C. Yang, A Clustering-based Approach for Inferring Recurrent Neural Networks as Gene Regulatory Networks, Neurocomputing, Vol.71, No.4, 2008, pp.600-610 (SCI)
- D.-N. Chen, B.-C. Jeng, W.-P. Lee, C.-H. Chuang, An Agent-Based Model for Consumer-to-Business Electronic Commerce, Expert Systems with Applications, Vol.34, No.1, 2008, pp.469-481 (SCI)
- W.-P. Lee*, K.-C. Yang, Applying Intelligent Computing Techniques to Modeling Biological Networks from Expression Data, Genomics, Proteomics and Bioinformatics, Vol.6, No.2, 2008, pp.111-120 (SCI)
- W.-P. Lee, B.-C. Jeng, T.-W. Pai, C.-P. Tsai, C.-Y. Yu, W.-S. Tzou*, Differential Evolutionary Conservation of Motif Themes in a Yeast Protein Interaction Network Discovered through Asymmetric Functional Annotations, BMC Genomics, Vol.7: 89, 2006 (SCI)
- W.-P. Lee, W.-S. Tzou*, Molecular Surface Directionality of the DNA-Binding Protein Surface on the Earth Map, Genetics and Molecular Biology, Vol.29, No.2, 2006, pp.408-412 (SCI)
Conference Proceedings
- C.-Y. Huang, J.-Y. Li, J.-Y. Huang, W.-P. Lee, A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots, Proceedings of the 14th International Conference on Swarm Intelligence, LNCS-13969, 2023, pp.3-15
- S.-H. Tsai, Y.-L. Peng, W.-P. Lee, Multi-turn Query with Similarity Feedback Facilitates Multimodal Video Clip Retrieval, Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022, pp.79-86
- T.-C. Chou, J.-Y. Huang, W.-P. Lee, Continual Learning with Adversarial Training to Enhance Robustness of Image Recognition Models, Proceedings of the Twenty-First International Conference on Cyberworlds, 2022, pp.236-242
- J.-Y. Lin, J.-Y. Huang, W.-P. Lee, Question-Answer Generation for Data Augmentation, Proceedings of IEEE International Conference on Smart Data, 2021, pp.391-397
- G.-M. Lin, Y.-L. Peng, W.-P. Lee, K.-T. Lee, Achieving Contactless Heart Rate Measurement by the Combination of Genetic Algorithm and UWB Radar Technology, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, 2021, pp.952-957
- J.-Y. Huang, W.-P. Lee, H.-W. Tsai, K.-T. Lee, A Data-Driven Knowledge-Enriched Framework for Dialogue Modeling, Proceedings of the Fifth IEEE International Conference on Big Data Intelligence and Computing, 2019, pp.25-32 (Best Paper Award)
- J.-Y. Huang, T.-A. Lin, W.-P. Lee, Using Deep Learning and an External Knowledge Base to Develop Human-Robot Dialogues, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, 2018, pp.3699-3704
- S.-H. Wang, J.-Y. Huang, W.-P. Lee, K.-T. Lee, Scaling Up Matrix Factorization with Cloud Computing for Collaborative Recommendation, Proceedings of IEEE International Conference on System Science and Engineering, 2018, pp.1-6
- J.-Y. Huang, W.-P. Lee, T.-H. Yang, C.-S. Ko, Resource Sharing for Cloud Robots: Service Reuse and Collective Map Building, Proceedings of the Eighteenth IEEE International Conference on Advanced Robotics, 2017, pp.303-309
- J.-Y. Huang, W.-P. Lee, Enabling Vision-Based Services with a Cloud Robotic System, Proceedings of IEEE Asia-Pacific Conference on Intelligent Robot Systems, 2016, pp.84-88
- T.-H. Yang, W.-P. Lee, Intelligent Service Reconfiguration for Home Robots, Proceedings of IEEE International Conference on Reconfigurable Mechanisms and Robots, 2015, pp.735-745
- T.-H. Yang, C.-S. Ko, J.-Y. Huang, W.-P. Lee, Configuring Reusable Robot Services in a Cloud Computing Environment, Proceedings of IEEE International Conference on Robotics and Biomimetics, 2015, pp.225-230
- C.-H. Lin, W.-P. Lee, Inferring Large Gene Networks with a Hybrid Fuzzy Clustering Method, Proceedings of the Eleventh International Conference on Intelligent Computing, LNCS-9225, 2014, pp.715-722
- T.-H. Yang, W.-P. Lee, A Service-Oriented Approach with Neural Networks and Knowledge Ontologies for Robot Control, Proceedings of the Twentieth International Conference on Neural Information Processing, LNCS-8227, 2013, pp.473-483
- R.-Y. Wang, Y.-T. Hsiao, W.-P. Lee, A New Cooperative PSO Approach for the Optimization of Multimodal Functions, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, 2012, pp.103-109
- Y.-T. Hsiao, W.-P. Lee, Evolving Gene Regulatory Networks: A Sensitivity-Based Approach, Proceedings of the Seventh International Conference on Intelligent Computing, LNBI-6840, 2011, pp.508-512
- W.-P. Lee, T.-H. Yang, J.-S. Jong, Intelligent Computing for Demonstration-Based Robot Learning, Proceedings of IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2010, pp.930-935
- W.-P. Lee, T.-H. Yang, Combining GRN Modeling and Demonstration-Based Programming for Robot Control, Proceedings of the Eleventh International Conference on Engineering Applications of Neural Networks, 2009, pp.190-199
- W.-P. Lee, Y.-T. Hsiao, Inferring Gene Regulatory Networks by Incremental Evolution and Network Decomposition, Proceedings of the Second International Symposium on Optimization and Systems Biology, LNOR-9, 2008, pp.311-324
- W.-P. Lee, T.-H. Yang, M.-H. Su, A User-Centered Framework for Developing Personal Pet Robots, Proceedings of IEEE International Conference on Robotics and Biomimetics, 2007, pp.227-232
- W.-P. Lee, L.-J. Liu, C.-A. Chiu, A Component-Based Framework to Rapidly Prototype Online Chess Games for Home Entertainment, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, 2006
- W.-P. Lee, L.-J. Liu, Developing Mobile Agent-Based Systems for Mobile Commerce, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, 2006
- W.-P. Lee, A Mobile Agent-Based Approach to Support Parallel Evolutionary Computation, Proceedings of the Ninth Pacific Rim International Conference on Artificial Intelligence, LNCS-4099, 2006, pp.823-828
National Science Council Projects
- 結合區塊鏈技術、服務規劃和邊緣運算的群機器人研究, 主持人, 2020-8-1-2022-7-31
- 智慧連網服務型機器人的資源配置、規畫生成和人機互動, 主持人, 2019-8-1-2020-7-31
- 物聯網環境下人機互動的根源: 語意解析與知識轉換, 主持人, 2016-8-1-2018-7-31
- 雲端機器人的研究與實作: 作業平台建置、資源分享、計算效能提升, 主持人, 2014-8-1-2016-7-31
- 人、機器人、改造人:海爾斯的《我們如何成為後人類: 控制理論、文學與資訊學中的虛擬身體》, 共同主持人, 2014-8-1-2016-7-31
- 以知識為基礎的居家服務型機器人服務組合之研究, 主持人, 2013-8-1-2014-7-31
- 結合服務導向架構、網路知識及機器學習達成機器人任務之研究, 主持人, 2012-8-1-2013-7-31
- 知識導入基因網路自動重建之進階研究, 主持人, 2011-8-1-2012-7-31
- 細胞訊號傳遞網路計算推論之研究, 主持人, 2010-8-1-2011-7-31
- 結合知識本體論及機器學習方法建構大型基因調控網路之研究, 主持人, 2008-8-1-2010-7-31
- 以演化計算建構仿生自我重組型機器人之研究, 主持人, 2007-8-1-2008-7-31
- 生物網路中模組性的發展及演化, 主持人, 2006-8-1-2007-7-31
- 經破壞性對稱標註的蛋白質交互作用網路的模組探測, 共同主持人, 2005-8-1-2006-7-31
- 蛋白質交互作用網路的特性分析與建構樣式萃取, 主持人, 2005-8-1-2006-7-31
Others
- 通用型轉動設備異常訊號排除系統
-譜威科技顧問股份有限公司, 主持人, 2021-4-1-2021-7-31 - 機器學習建構持續性非心臟手術術後死亡風險、併發症的整合預測模型
-國立中山大學與高雄醫學大學合作研究計畫, 共同主持人, 2021-1-1-2021-12-31 - 線上運轉設備異常訊號自動排除
-譜威科技顧問股份有限公司, 主持人, 2020-5-1-2020-12-31 - 以深度學習方法研發牙齒自動診斷系統
-國立中山大學與高雄醫學大學合作研究計畫, 共同主持人, 2020-1-1-2020-12-31 - 應用人工智慧方法降低藥物處方及配藥疏失以提升用藥安全
-國立中山大學與高雄醫學大學合作研究計畫, 主持人, 2019-1-1-2019-12-31 - 從社群網路巨量資料內容辨識藥物潛在不良反應事件之研究
-國立中山大學與高雄醫學大學合作研究計畫, 主持人, 2018-1-1-2018-12-31 - 醫療藥物知識管理系統之研究:知識萃取、預測模型建立及關聯分析
-國立中山大學與高雄醫學大學合作研究計畫, 主持人, 2016-1-1-2016-12-31 - 以雲端運算提升具醫護資源考量的手術排程效率之研究
-國立中山大學與高雄醫學大學合作研究計畫, 主持人, 2015-1-1-2015-12-31
Undergraduate Program
Year | Course Name | Hour |
106 | ELECTRONIC COMMERCE PROJECT (II) | 3 |
DATA STRUCTURES | 3 | |
ELECTRONIC COMMERCE PROJECT (I) | 3 | |
105 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
DATA STRUCTURES | 3 | |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
104 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
DATA STRUCTURES | 3 | |
103 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
DATA STRUCTURES | 3 | |
102 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
DATA STRUCTURES | 3 | |
101 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
DATA STRUCTURES | 3 | |
100 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
DATA STRUCTURES | 3 | |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
99 | DATA STRUCTURES | 3 |
DATA STRUCTURES | 3 | |
ELECTRONIC COMMERCE PROJECT (I) | 3 | |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
98 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
DATA STRUCTURES | 3 | |
97 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
96 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
ELECTRONIC COMMERCE PROJECT (II) | 3 | |
95 | ELECTRONIC COMMERCE PROJECT (I) | 3 |
COMPUTER PROGRAMMING PRATICE | 1 | |
COMPUTER PROGRAMMING | 3 | |
INTRODUCTION TO COMPUTER SCIENCE PRACTICE | 1 | |
BASIC COMPUTER CONCEPTS | 3 |
Graduate Program
Year | Course Name | Hour |
106 | ARTIFICIAL INTELLIGENCE | 3 |
INTELLIGENT COMPUTATION | 3 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
SPECIAL ISSUES IN INFORMATION TECHNOLOGY | 3 | |
105 | ARTIFICIAL INTELLIGENCE | 3 |
INTELLIGENT COMPUTATION | 3 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
104 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
103 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
102 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
INTELLIGENT COMPUTATION | 3 | |
101 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
INTELLIGENT COMPUTATION | 3 | |
100 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
INTELLIGENT COMPUTATION | 3 | |
99 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
INTELLIGENT COMPUTATION | 3 | |
98 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
INTELLIGENT COMPUTATION | 3 | |
97 | DATA MINING AND KNOWLEDGE DISCOVERY | 3 |
ARTIFICIAL INTELLIGENCE | 3 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
96 | ARTIFICIAL INTELLIGENCE | 3 |
INTELLIGENT COMPUTATION | 3 | |
95 | SPECIAL TOPICS IN ARTIFICIAL INTELLIGENCE | 3 |
Ph.D. Program
Year | Course Name | Hour |
106 | ARTIFICIAL INTELLIGENCE | 3 |
SEMINAR IN ADVANCED INFORMATION SYSTEMS (II) | 1 | |
SEMINAR IN ADVANCED INFORMATION SYSTEMS (IV) | 1 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
SPECIAL ISSUES IN INFORMATION TECHNOLOGY | 3 | |
105 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
103 | SEMINAR IN ADVANCED INFORMATION SYSTEMS (I) | 3 |
SEMINAR IN ADVANCED INFORMATION SYSTEMS (III) | 3 | |
98 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
97 | DATA MINING AND KNOWLEDGE DISCOVERY | 3 |
ARTIFICIAL INTELLIGENCE | 3 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
96 | ARTIFICIAL INTELLIGENCE | 3 |
SEMINAR IN ADVANCED INFORMATION SYSTEMS (II) | 1 | |
SEMINAR IN ADVANCED INFORMATION SYSTEMS (IV) | 1 | |
INTELLIGENT COMPUTATION | 3 | |
95 | SPECIAL TOPICS IN ARTIFICIAL INTELLIGENCE | 3 |
Part time MBA
Year | Course Name | Hour |
106 | ARTIFICIAL INTELLIGENCE | 3 |
INTELLIGENT COMPUTATION | 3 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
SPECIAL ISSUES IN INFORMATION TECHNOLOGY | 3 | |
105 | ARTIFICIAL INTELLIGENCE | 3 |
SEMINAR IN MIS (I) | 3 | |
INTELLIGENT COMPUTATION | 3 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
104 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
103 | ARTIFICIAL INTELLIGENCE | 3 |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
102 | DATA MINING AND KNOWLEDGE DISCOVERY | 3 |
INTELLIGENT COMPUTATION | 3 | |
SEMINAR IN MIS (I) | 3 | |
101 | SEMINAR IN MIS (I) | 3 |
98 | DATA MINING AND KNOWLEDGE DISCOVERY | 3 |
97 | DATA MINING AND KNOWLEDGE DISCOVERY | 3 |
ARTIFICIAL INTELLIGENCE | 3 | |
DATA MINING AND KNOWLEDGE DISCOVERY | 3 | |
95 | DATA WAREHOUSING AND DATA MINING | 3 |