Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: 5204455496

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: 9402303651

Quick Professional Work Experience Summary

Over a decade of work experience in IT Industry, contributing as an IT Infrastructure Architect, Advisor, Consultant and Research
Associate in the field of cloud computing, DC Transformation, infrastructure virtualization, consolidation & IT Service Management
? Authored and presented several research papers in the field of Cloud Computing in various International Conferences
? Have couple of patent pending analytics in the field of Cloud Computing for workload analysis and workload movement
? Private cloud product development and public cloud service offering development from business and technical point of view
? Designed G-cloud for UK Government, cloud advisor for Fortune 1 retailer and Fortune 19 health care company
? Working closely with CxOs to capture desired end state through IT transformation and cloud adoption
? Performed several successful transitions of IT operations from UK, and US to offshore support centers
? Experience in leading and managing collocated as well as globally dispersed Data Center Support and IT Operations teams
? Core experience in IT infrastructure Operations, Support, Consulting, Advisory & Solution Designing
? Designed and demonstrated proof of concepts (POC) and live demos of enterprise class products for senior executives
? Designed & demonstrated Server Consolidation & Enterprise Business Continuity Planning/Disaster Recovery solutions
? Provided remote technical support to global clients through Global Service Delivery Model and ITIL framework
? Have contributed in total automation (computerization) of several Indian government offices and Nationalized Banks
? Contributed in designing and implementation of UK data protection and information security ISMS practices
? Active member of DMTF, Cloud Security Alliance, TOGAF Jericho Forum, IEEE and a regular IEEE research paper reviewer

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: +919945148117

Self-adjusting computation is a programming language-based technique for systematically describing programs that consume and produce dynamically-changing data.

My current research focuses on providing programmers with compiler and run-time tools that give a self-adjusting semantics to a familiar imperative language (namely, C). This work includes both a practical implementation, as well as a formal semantics and proofs that our techniques are “correct”.

More broadly, I’m interested in building programming language tools, as well as formally reasoning about the correctness of such tools. I’m particularly interested in building and reasoning about systems where computation and data “evolve” together over time (e.g., as in interactive systems).

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: +49 631 9303-9619

Looking for: Postdoctoral position in US, Canada or Europe.
CV: http://cs.ucsb.edu.~pegah/kamousi.pdf
Research Statement: http://cs.ucsb.edu.~pegah/sor.pdf

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: 8057082700

For my PhD, I am investigating strategies for the acquisition and processing of data on the Body-Centered Cubic (BCC) lattice. I am primarily interested in Scientific Visualization and Computer Graphics applications. Since both Vis and Graphics are diverse areas, my research is quite multidisciplinary and draws on other scientific avenues such as Signal Processing, Computational Fluid Dynamics, Computed Tomography and Partial Differential Equations.

Please check my CV for more details.

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: (778) 878-2546

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: 1-781-9858237

IEEE Transactions on Evolutionary Computation

IEEE Transactions on Neural Networks

Pattern Recognition Letters

Journal of Environmental Informatics

Publications
Journals

1. R. Chandra, M. Frean, M. Zhang, “Crossover-based Local Search in Cooperative Co-evolutionary Feedforward Networks”, Applied Soft Computing, Elsevier, Minor Revisions, October 2011.

2. R. Chandra, M. Zhang, “Cooperative Coevolution of Elman Recurrent Neural Networks for Chaotic Time Series Prediction”, Neurocomputing, Elsevier, Accepted with Minor Revisions, October 2011.

3. R. Chandra, M. Frean, M. Zhang and C. W. Omlin, “Encoding Subcomponents in Cooperative Coevolutionary Recurrent Neural Networks”, Neurocomputing, Elsevier, Vol. 74, 2011, pp. 3223-3234, (doi:10.1016/j.neucom.2011.05.003).

4. R. Chandra, L. Rolland, “On Solving the Forward Kinematics of 3RPR Planar Parallel Manipulator using Hybrid Metaheuristics”, Applied Mathematics and Computation, Elsevier, Vol 217, No. 22, 2011 pp. 8997-9008 , (doi: 10.1016/j.amc.2011.03.106)

5. R. Chandra, R. Knight and C. W. Omlin, “Renosterveld Conservation in South Africa: A Case Study for Handling Uncertainty in Knowledge Based Neural Networks for Environmental Management”, Journal of Environmental Informatics, Vol 13, No. 1, 2009, pp. 56-65. (doi: 10.3808/jei.200900140)

6. R. Chandra, and C. W. Omlin, Evolutionary Training of Hybrid Systems of Recurrent Neural Networks and Hidden Markov Models,%u201D International Journal of Mathematical and Computer Sciences Vol 3, No. 3 2007, pp. 127-132

Refereed Conference Proceedings/Book Chapters
2011

5. R. Chandra, M. Frean, M. Zhang, “Modularity Adaptation in Cooperative Coevolutionary Feedforward Neural Networks” , Proceedings of the International Joint Conference on Neural Networks, 2011, San Jose, USA, pp. 681-688. (IEEE)

6. R. Chandra, M. Frean, M. Zhang, “A Memetic Framework for Cooperative Coevolution of Recurrent Neural Networks”, Proceedings of the International Joint Conference on Neural Networks, 2011, San Jose, USA, pp. 673-680. (IEEE)
2010

7. R. Chandra, M. Frean, M. Zhang, “An Encoding Scheme for Cooperative Coevolutionary Neural Networks”, Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence. AI 2010: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 6464. Springer. Adelaide, Australia, 2010. pp. 253-262. ( Download)

8. L. Rolland and R. Chandra, ” On Solving the Forward Kinematics of the 6-6 General Parallel Manipulator with an Efficient Evolutionary Algorithm”, In ROMANSY 18 – Robot Design, Dynamics and Control, Series: CISM International Centre for Mechanical Sciences, Vol. 524 Springer, Berlin, 2010, pp. 117-124. ( Online)
2009

9. R. Chandra, M. Frean, L. Rolland, “A Hybrid Meta-Heuristic Paradigm for Solving the Forward Kinematics of 6-6 General Parallel Manipulator”, Proceedings of 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA 2009), Daejeon, Korea, December 2009, pp. 171-176. (doi: 10.1109/CIRA.2009.5423212) ( Download PDF)

10. R. Chandra, M. Zhang, L. Rolland, “Solving the Forward Kinematics of the 3RPR Planar Parallel Manipulator using a Hybrid Meta-Heuristic Paradigm”, Proceedings of 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA 2009), Daejeon, Korea, December 2009, pp. 177-182. (doi: 10.1109/CIRA.2009.5423213) ( Download PDF)

11. L. Rolland, R. Chandra, “Forward Kinematics of the 3RPR planar Parallel Manipulators Using Real Coded Genetic Algorithms”, Proceedings of 24th International Symposium on Computer and Information Sciences( ISCIS 2009), North Cyprus, September 2009, pp. 381-386. (doi: 10.1109/ISCIS.2009.5291810 )

12. L. Rolland, R. Chandra, “Forward Kinematics of the 6-6 general Parallel Manipulator Using Real Coded Genetic Algorithms”, Proceedings of 2009 IEEE/ASME Conference on Advanced Intelligent Mechatronics (AIM 2009), Singapore,2009, pp. 1637-1642. (doi: 10.1109/AIM.2009.5229824 ) ( Download PDF)
2008

13. R. Chandra, C. W. Omlin,%u201D Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks%u201D, Proceedings of International Conference on Genetic and Evolutionary Methods, Los Vegas, 2008, pp. 305-311.
2007

14. R. Chandra, G. Onwubolu, %u201CT he Application of Neural Networks in Prediction Problems%u201D, Proceedings of the International Workshop on Inductive Modelling, Prague, September 2007, pp. 46-54.

15. R. Chandra, K. Chaudhary, A. Kumar, %u201C The Combination and Comparison of Neural Networks and Decision Trees for Wine Classification%u201D, Proceedings of the International Workshop on Inductive Modelling, Prague, September 2007, pp. 10-17.

16. R. Chandra and C. W. Omlin, %u201CCombining Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification%u201D
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, Orlando FL, USA, July 2007, pp. 278-285.

17. R. Chandra and C. W. Omlin, %u201CA Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite
Automaton%u201D Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, Orlando FL, USA, July 2007, pp. 286-293.

18. R. Chandra and C. W. Omlin, %u201CHybrid Recurrent Neural Networks: An Application to Phoneme Classification%u201D International Conference on Genetic and Evolutionary
Methods, Las Vegas, USA, June 2007, pp. 57-62.

19. R. Chandra and C. W. Omlin, %u201CKnowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain%u201D International Conference on Data Mining, Las Vegas, USA, June 2007, pp. 221-227.
2006

20. R. Chandra and C. W. Omlin, %u201C Training and Extraction of Fuzzy Finite Automata in Recurrent Neural Networks%u201D, Proceedings of the International Conference of Computational Intelligence, San Francisco, U.S.A, Acta Press, November 2006, pp. 274-279.

2005

21. R. Chandra, R. Knight and C. W. Omlin, %u201CA Knowledgebased Neurocomputing Decision Support System for Biodiversity and Conservation Biology%u201D, Proceedings of
the International Conference on Environmental Management, Environmental Geoinformatics and Modelling, vol. 4, Hyderabad India, 2005.

Contact Information

E-Mail: EMAIL OBFUSCATED

• Postdoc Research Fellow
  Computer Science and Information Engineering, National University of Kaohsiung, Taiwan (2011/08 – now)
• Part-time Assistant Professor
  Information Management, National Pingtung University of Science and Technology, Taiwan (2011/8 – now)
• Part-time Assistant Professor
  Computer Science and Information Engineering, National University of Kaohsiung, Taiwan (2010/8 – now)

Dissertation and Thesis

• Dissertation: Extension of Frequent Pattern Trees for Incremental, Utility and Fuzzy Itemsets Mining
  Advisor: Prof. Wen-Hsiang Lu / Prof. Tzung-Pei Hong

• Thesis: Maintenance Algorithms for Fast Updated Frequent Pattern Trees
  Advisor: Prof. Yu-Lung Wu / Prof. Tzung-Pei Hong

Work Experience

• Postdoc Research Fellow at Dept. of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan (2011/08 – now)
• Part-time Assistant Professor at Dept. of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan (2010/08 – now)
• Part-time Assistant Professor at Dept. of Information Management, National Pingtung University of Science and Technology, Pingtung, Taiwan (2011/08 – now)
• Research Assistant Fellow at Dept. of General Education Center, , National University of Kaohsiung, Kaohsiung, Taiwan (2010/08 – 2011/07)
• Part-time Lecturer at Dept. of Information Management, Cheng Shiu University, Kaohsiung, Taiwan (2009/08 – 2010/01)

Academic Experiences & Honor

• Session Chair (ICICIC 2010, NCWIA 2011)
• Journal Reviewer (Information Sciences, Soft Computing, Scientific Research and Essays)
• 15 Program Committee Member (GrC 2009, GrC 2010, SMC 2010, CICN2010, NDT 2011, GrC 2011, CSNT 2011, WICT 2011, IDCTA 2011, ICADIWT 2011, CCS 2011, ICDIM 2011, TAAI 2011, SocProS 2011, RIVF 2012)
• 28 Conference Reviewer (GrC 2009, NDT 2009, GrC2010, NDT 2010, WMSCI 2010, SMC 2010, ICARCV 2010, SICT 2010, NCM 2010, CICN2010, TAAI 2010, ICIMA 2010, ICS 2010, ICCIT 2010, ISDA 2010, NDT 2011, GrC 2011, CSNT 2011, WICT 2011, SMC 2011, IDCTA 2011, ICADIWT 2011, CCS 2011, ICDIM 2011, TAAI 2011, SocProS 2011, ICIPM 2011, RIVF 2012)
• 13 Conference Oral Presentation (ICIM 2006, ICICIC 2006, SMC 2006, CIDM 2007, WSEAS 2007, ICDM 2008, Fuzzy 2009, OOTA 2009, FUZZ-IEEE 2009, SocPar 2009, ICCEA 2010, ICICIC 2010, NCWIA 2010)

• 2011 Taiwan Association for Web Intelligence Consortium, Best Dissertation Award
• 2011 Taiwan Association for Web Intelligence Consortium, Best Thesis Award for Advisor
• 2007 International Conference on Innovative Computing, Information and Control, Best Paper Award

Publications

Journal paper (18 papers, 12 SCI, 5 EI)

• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “A New Mining Approach for Uncertain Databases Using CUFP Trees,” Expert System with Applications, Vol. 38, pp. 15143-15150, 2011 (SCI, ENGINEERING, ELECTRICAL & ELECTRONIC), (Impact factor: 1.924), (Ranking: 47/247).
• Chun-Wei Lin and Tzung-Pei Hong, “Temporal Data Mining with Up-to-Date Pattern Trees,” Expert System with Applications, Vol. 38, pp. 15143-15150, 2011 (SCI, ENGINEERING, ELECTRICAL & ELECTRONIC), (Impact factor: 1.924), (Ranking: 47/247).
• Tzung-Pei Hong, Chun-Wei Lin*, Kuo-Tung Yang and Shyue-Liang Wang, “A Heuristic Data-Sanitization Approach Based on TF-IDF,” Lecture Notes in Computer Science, Vol. 6703, pp. 156-164, 2011 (EI). *corresponding author
• Tzung-Pei Hong, Ting-I Chien, Yu-Lung Wu and Chun-Wei Lin, “Evolutionary Computation for Good Makespans of Scheduling Problems with Mold Constraints,” ICIC Express Letters, Vol. 5, No. 6, pp. 1893-1898, 2011 (EI).
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “An Effective Tree Structure for Mining High Utility Itemsets,” Expert Systems with Applications, Vol. 38, Issue 6, pp. 7419-7424, 2011 (SCI, ENGINEERING, ELECTRICAL & ELECTRONIC), (Impact factor: 1.924), (Ranking: 47/247).
• Tzung-Pei Hong, Ching-Yao Wang and Chun-Wei Lin, “Providing Timely Updated Sequential Patterns in Decision Making,” International Journal of Information Technology & Decision Making, Vol. No. 9, Issue No. 6, pp. 873-888, 2010 (SCI, COMPUTER SCIENCE, INFORMATION SYSTEMS), (Impact factor: 3.139), (Ranking: 5/126).
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Efficient Modification of Fast Updated FP-trees Based on Pre-large Concepts,” International Journal of Innovative Computing, Information and Control, Vol. 6, No.12, , pp. 5163-5177, 2010 (SCI, AUTOMATION & CONTROL SYSTEMS), (Impact factor:1.664), (Ranking: 12/60).
• Yun-Yao Chen, Yueh-Yun Wang, Wei-Li Wang and Chun-Wei Lin*, “An Introduction of a Push System for Bicycle Position,” Journal of Far East University, Vol. 27, Issue 3, pp. 305-314, 2010. *corresponding author
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “An Efficient Tree-based Fuzzy Data Mining Approach,” International Journal of Fuzzy Systems, Vol. 12, No. 2, pp. 150-157, 2010 (SCI, AUTOMATION & CONTROL SYSTEMS) , (Impact factor: 1.362), (Ranking: 22/60).
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Using the Structure of Prelarge Trees to Incrementally Mine Frequent Itemsets,” New Generation Computing, Vol. 28, No.1, pp. 5-20, 2010 (SCI, COMPUTER SCIENCE, HARDWARE & ARCHITECTUR) , (Impact factor: 0.412), (Ranking: 41/48).
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Efficiently Mining High Average Utility Itemsets with a Tree Structure,” Lecture Notes in Computer Science, Vol. 5990, pp. 131-139, 2010 (EI).
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Linguistic Data Mining with Fuzzy FP-trees,” Expert Systems with Applications, Vol. 37, pp. 4560-4567, 2010 (SCI, ENGINEERING, ELECTRICAL & ELECTRONIC), (Impact factor: 1.924), (Ranking: 47/247).
• Tzung-Pei Hong, Chun-Wei Lin, and Yu-Lung Wu, “Maintenance of Fast Updated Frequent Pattern Trees for Record Deletion,” Computational Statistics and Data Analysis, Vol. 53, Issue 7, pp. 2485-2499, 2009 (SCI, STATISTICS & PROBABILITY), (Impact factor: 1.089), (Ranking: 41/110).
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “The Pre-FUFP Algorithm for Incremental Mining,” Expert Systems with Applications, Vol. 36, pp. 9498-9505, 2009 (SCI, ENGINEERING, ELECTRICAL & ELECTRONIC), (Impact factor: 1.924), (Ranking: 47/247).
• Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu and Been-Chian Chien, “Incremental Mining with Prelarge Trees,” Lecture Notes in Computer Science, Vol. 5027, pp. 169-178, 2008 (EI).
• Tzung-Pei Hong, Chun-Wei Lin, and Yu-Lung Wu, “An Efficient FUFP-tree Maintenance Algorithm for Record Modification,” International Journal of Innovative Computing, Information and Control, Vol.4, No.11, Nov. pp. 2875-2887, 2008 (SCI, AUTOMATION & CONTROL SYSTEMS), (Impact factor:1.664), (Ranking: 12/60).
• Tzung-Pei Hong, Chun-Wei Lin and Yu-Lung Wu, “Incrementally fast updated frequent pattern trees,” Expert Systems With Applications. Vol. 34, Issue 4, pp. 2424-2435, 2008 (SCI, ENGINEERING, ELECTRICAL & ELECTRONIC), (Impact factor: 1.924), (Ranking: 47/247).
• Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu and Chih-Hung Wu, “Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts,” Lecture Notes in Computer Science, Vol. 4570, pp. 675-684, 2007 (EI).

Conference (38 papers)

• Chun-Wei Lin, Tzung-Pei Hong, Hong-Yu Lee, and Shyue-Liang Wang, “Maintenance of Pre-large FUSP Trees in Dynamic Databases,” The International Conference on Innovations in Bio-inspired Computing and Applications, 2011 (accepted to appear).
• Tzung-Pei Hong, Chun-Wei Lin*, Chia-Ching Chang, and Shyue-Liang Wang, “Hiding the Sensitvie Itemsets by Newly Inserted Transactions,” IEEE International Conference on Granular Computing, 2011 (accepted to appear). *corresponding author
• Tzung-Pei Hong, Chun-Wei Lin*, Kuo-Tung Yang and Shyue-Liang Wang, “A Lattice-based Data Sanitization Approach,” IEEE International Conference on Systems, Man, and Cybernetics, 2011 (accepted to appear). *corresponding author
• Tzung-Pei Hong, Chun-Wei Lin*, Tsung-Ching Lin and Shing-Tai Pan, “Upper-Bound Multiple Fuzzy Frequent-Pattern Trees,” IEEE International Conference on Fuzzy Systems, pp. 218-222, 2011. *corresponding author
• Guo-Cheng Lan, Tzung-Pei Hong, Chun-Wei Lin and Vincent S. Tseng, “Mining High Average-Utility Itemsets with an Indexed Projection Technique,” The First National Conference on Web Intelligence and Applications, pp. 334-338, 2011.
• Tzung-Pei Hong, Chun-Wei Lin*, Kuo-Tung Yang and Shyue-Liang Wang, “A Heuristic Data-Sanitization Approach Based on TF-IDF,” The Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, pp. 156-164, 2011. *corresponding author
• Guo-Cheng Lan, Chun-Wei Lin, Tzung-Pei Hong and Vincent S. Tseng, “Updating High Average-Utility Itemsets in Dynamic Databases,” World Congress on Intelligent Control and Automation, pp. 281-285, 2011.
• Yun-Yao Chen, Yueh-Yun Wang, and Chun-Wei Lin*, “A Framework of Mobile Agent-based Bike Location and Information Pushing System,” International Conference on Computers, Communication, Control and Automation, vol. 1, pp. 539-542, 2011. *corresponding author
• Tzung-Pei Hong, Chun-Wei Lin* and Tsung-Ching Lin, “The Compressed Multiple Fuzzy-Term Frequent Pattern Tree,” The 18th National Conference on Fuzzy Theory and Its Applications, pp. 164-168, 2010. *corresponding author
• Tzung-Pei Hong, Ting-I Chien, Yu-Lung Wu and Chun-Wei Lin, “Evolutionary Computation for Good Makespans of Scheduling Problems with Mold Constraints,” The Fifth International Conference on Innovative Computing, Information and Control, Vol. 5, No. 6, pp. 1893-1898, 2010.
• Tzung-Pei Hong, Chun-Wei Lin* and Tsung-Ching Lin, “Mining Complete Fuzzy Frequent Itemsets by Tree Structures,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 563-567, 2010. *corresponding author
• Tzung-Pei Hong, Tung-Kuo Yang, Chun-Wei Lin and Shyue-Liang Wang, “Evolutionary Privacy-Preserving Data Mining,” World Automation Congress, pp. 1-7, 2010.
• Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Hsin-Yi Chen and Hung-Yu Gao, “Incrementally Mining High Utility Itemsets in Dynamic Databases,” IEEE International Conference on Granular Computing, pp. 303-307, 2010.
• Tzung-Pei Hong, Kuo-Tung Yang, Chun-Wei Lin and Shyue-Liang Wang, “Evolutionary privacy-preserving data mining,” ?????????????????2010????????????, 2010.
• Tzung-Pei Hong, Chun-Wei Lin, Guo-Cheng Lan and Cho-Han Lee, “Maintenance of High Average-Utility Itemsets for Record Deletion,” International Conference of System Science and Engineering, pp. 75-79, 2010.
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “A Two-Phase Fuzzy Mining Approach,” IEEE International Conference on Fuzzy Systems, pp. 494-498, 2010.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Maintaining High Utility Pattern Trees in Dynamic Databases,” The 2nd International Conference on Computer Engineering and Applications, pp. 304-308, 2010.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Efficiently Mining High Average Utility Itemsets with a Tree Structure,” The 2nd Asian Conference on Intelligent Information and Database Systems, pp. 131-139, 2010.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “High Utility Pattern Trees,” The 20th Workshop on Object-Oriented Technology and Applications, 2009.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “A New Tree Structure for Mining Frequent Itemsets from Uncertain Databases,” The 17th National Conference on Fuzzy Theory and Its Applications, pp. 575-579, 2009.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Mining Up-to-Date Knowledge Based on Tree Structures,” The International Conference on Soft Computing and Pattern Recognition, pp. 123-127, 2009.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “An Efficient FUSP-Tree Update Algorithm for Deleted Customer Sequences,” The Fourth International Conference on Innovative Computing, Information and Control, 2009.
• Tzung-Pei Hong, Hsin-Yi Chen, Chun-Wei Lin and Sheng-Tun Li, “Maintaining the Pre-large FUSP tree for Record Deletion,” The 3rd International Conference on New Trends in Information and Service Science, pp.948-953, 2009.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Fuzzy Data Mining Based on the Compressed Fuzzy FP-trees,” 2009 IEEE International Conference on Fuzzy Systems, pp. 1068-1072, 2009.
• Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu, “Mining Fuzzy Association Rules Based on Fuzzy FP-trees,” The 16th National Conference on Fuzzy Theory and Its Applications, pp. 11-16, 2008.
• Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, and Hsin-Yi Chen, “An FUSP-Tree Algorithm for Record Modification,” 2008 IEEE International Conference on Data Mining, Foundation of Data Mining Workshop, pp. 649-653, 2008.
• Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu and Wen-Yang Lin, “An Incremental FUSP-Tree Maintenance Algorithm,” The International Conference on Intelligent System Design and Applications, Vol. 1, pp. 445 – 449, 2008.
• Tzung-Pei Hong, Hsin-Yi Chen, Chun-Wei Lin and Sheng-Tun Li, “Incrementally Fast Updated Sequential Pattern Trees,” The International Conference on Machine Learning and Cybernetics, Vol. 7, pp. 3991-3996, 2008.
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Mining with Prelarge Trees for Record Modification,” The Third International Conference on Innovative Computing, Information and Control, pp. 328-328, 2008.
• Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu and Been-Chian Chien, “Incremental Mining with Prelarge Trees,” The 21th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 169-178, 2008.
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Maintenance of the Prelarge Trees for Record Deletion,” The 12th WSEAS International Conference on APPLIED MATHEMATICS, pp.105-110, 2007.
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Maintaining the Fast Updated FP-tree from Modified Records Based on Pre-large Itemsets,” The Second International Conference on Innovative Computing, Information and Control, pp. 301-305, 2007 (Best Paper Award).
• C. Rosa Yeh, Yu-Hui Tao, Tzung-Pei Hong, Wen-Yang Lin, Pi-Chi Chen, Chun-HsinWu, Chun-Wei Lin, “Adapting Monopoly as an Intelligent Learning Game for Teaching Dynamic Competitive Strategy,” The International joint Conference on e-Commerce, e-Administration, e-Society, and e-Education, 2007.
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining,” 2007 IEEE Symposium on Computational Intelligence and Data Mining, pp. 598-603, 2007.
• Chun-Wei Lin, Tzung-Pei Hong and Wen-Hsiang Lu, “Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts,” The 20th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 675-684, 2007.
• Tzung-Pei Hong, Jun-Wei Lin and Yu-Lung Wu, “A Fast Updated Frequent Pattern Tree,” 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2267-2272, 2006.
• Tzung-Pei Hong, Jun-Wei Lin and Yu-Lung Wu, “Maintenance of Fast Updated Frequent Pattern Trees for Record Modification,” The First International Conference on Innovative Computing, Information and Control, pp. 570-573, 2006.
• Tzung-Pei Hong, Jun-Wei Lin and Yu-Lung Wu, “A Fast Updated Frequent Pattern Tree for Deletion of Records,” The 17th International Conference on Information Management, pp. 171, 2006.

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Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: +886-953246870

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: +82-10-9439-3081