NCKU IMI 師資-莊坤達

專長及研究領域

資料探勘、資料庫系統、雲端運算、網際網路資訊系統、分散式帳本技術、智慧能源管理

學歷

台灣 \ 國立台灣大學 \ 電信工程學研究所 \ 博士(2001 ~ 2006)

經歷

中央研究院 \ 資訊科技創新研究中心 \ 博士後研究員 (2011 ~ 2011)

美商新思科技 (SYNOPSYS) \ Implementation Group \ 資深工程師 (2006 ~ 2011)

Philips Research East Asia, Taipei, Taiwan (PREA-T \ \ Intern (2000 ~ 2001)

專利

類別	專利名稱	國別	發明人	專利號碼
發明專利	藉由快照來快速擴展關聯式資料庫之系統及其方法	台灣	陳泊亨, 莊坤達	I537756
發明專利	一個可彈性延伸的分散式計算叢集模組資源整合方法及其系統	台灣	莊坤達, 李高丞, 李彥寬	I541726
	K.-T. Chuang, M.-S. Chen, Clustering Categorical Data by Utilizing the Correlated-Force Ensemble

榮譽及獲獎

Ericsson Taiwan Ph.D. Fellowship, 2001

著作

Accepted Papers to be Published

1. Chi-Chun Lin, Kun-Ta Chuang, Wush Chi-Hsuan Wu, Ming-Syan Chen "Budget-Constrained Real-Time Bidding Optimization: Multiple Predictors Make It Better" ACM Transactions on Knowledge Discovery from Data (ACM TKDD)(Accepted)

2. Chien-Wei Chang, Chu-Di Chen, Kun-Ta Chuang "Queries of K-Discriminative Paths on Road Networks" Knowledge and Information Systems (Accepted)

3. Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang "A check-in shielding scheme against acquaintance inference in location-based social networks" World Wide Web Journal (Accepted)

Refered Papers

1. Shan-Yun Teng, Lo-Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang "Worship Prediction: Identify Followers in Celebrity-Dived Networks" World Wide Web Journal, Volume 22 Issue 1, January 2019

2. Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang "An Active Learning-based Approach for Location-aware Acquaintance Inference" Knowledge and Information Systems, Volume 59 Issue 3, June 2019

3. Shan-Yun Teng, Wei-Shinn Ku, Kun-Ta Chuang "Toward Mining Stop-by Behaviors in Indoor Space" ACM Transactions on Spatial Algorithms and Systems, Volume 3, Issue 2, August 2017

4. Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang "Node Reactivation Model to Intensify Influence on Network Targets" Knowledge and Information Systems, Volume 54, Number 3, March 2018

5. Min-Hsiang Yang, Chun-Rong Huang, Wan-Chen Liu, Shu-Zhe Lin, Kun-Ta Chuang "Binary Descriptor Based Nonparametric Background Modeling for Foreground Extraction by Using Detection Theory" IEEE Trans. Circuits Syst. Video Techn. 25(4): 595-608

6. Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, De-Nian Yang, and Ming-Syan Chen "Density Conscious Subspace Clustering for High-Dimensional Data" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 22, No. 1, pp. 16-30, January 2010SCI

7. Kun-Ta Chuang, Hung-Leng Chen, and Ming-Syan Chen "Feature Preserved Sampling over Streaming Data" ACM Trans. on Knowledge Discovery from Data (TKDD), Vol. 2, No. 4, 2009

8. Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, and Ming-Syan Chen "Toward the Optimal Itinerary-based KNN Query Processing in Mobile Sensor Networks" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 20, No. 12, pp. 1655-1668, December 2008SCI

9. Hung-Leng Chen, Kun-Ta Chuang, and Ming-Syan Chen "On Data Labeling for Clustering Categorical Data" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 20, No. 11, pp. 1458-1471, November 2008SCI

10. Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen "Power-Law Relationship and Self-Similarity in the Itemset Support Distribution: Analysis and Applications" Very Large Data Base Journal (VLDBJ), Vol. 17, No. 5, pp. 1121-1141, August 2008SCI

11. Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen "Mining Top-k Frequent Patterns in the Presence of the Memory Constraint" Very Large Data Base Journal (VLDBJ), Vol. 17, No. 5, pp. 1321-1344, August 2008SCI

12. Hao-Ping Hung, Kun-Ta Chuang, and Ming-Syan Chen "Efficient Top-k Query Processing over Multiple Streams with Minimized Global Error" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 19, No. 10, pp. 1404-1419, October 2007SCI

13. Kun-Ta Chuang, Keng-Pei Lin, and Ming-Syan Chen "Quality-Aware Sampling and its Applications in Incremental Data Mining" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 19, No. 4, pp. 468-484, April 2007SCI

14. Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Adherence Clustering: An Efficient Method for Mining Market-Basket Clusters" Information Systems 31, 170-186, 2006SCI

Conference Papers

國際會議

1. Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang "An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management" The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'22) (blind-review, acceptance rate=19.3%, out of 627 submissions)

2. Lo Pang-Yun Ting, Shan-Yun Teng, Kung-Ta Chuang, and Ee-Peng Lim "Learning Personal Conscientiousness from Footprints in E-Learning Systems" Proc. of the IEEE International Conference on Data Mining (ICDM 2020) (triple-blind review, short paper, acceptance rate=19.7% out of 930 submissions)

3. Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, Huan Liu "Interactive Unknowns Recommendation in E-Learning Systems" Proc. of the IEEE International Conference on Data Mining (ICDM 2018) (triple-blind review, full paper, acceptance rate=8.86% out of 948 submissions)

4. Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang "Predictive Team Formation Analysis via Feature Representation Learning on Social Networks" Proc. of the Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2018)(blind review, Short Presentation paper, acceptance ratio 105/590~17%)

5. Wei Lee, Chien-Wei Chang, Po-An Yang, Chi-Hsuan Huang, Ming-Kuang Wu, Chu-Cheng Hsieh, Kun-Ta Chuang "Effective Quality Assurance for Data Labels through Crowdsourcing and Domain Expert Collaboration" 21st International Conference on Extending Database Technology, Demo Track (EDBT-2018)

6. Shan-Yun Teng, Cheng-Kuan Ou and Kun-Ta Chuang "Mining Temporal Fluctuating Patterns" Proc. of the Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2017)(blind review, Long Presentation paper, acceptance ratio 45/458~9.8%)

7. Ying-Chun Lin, Chi-Hsuan Huang, Chu-Cheng Hsieh, Yu-Chen Shu and Kun-Ta Chuang "Monetary Discount Strategies for Real-Time Promotion Campaign" Proc. of the 26th International World Wide Web Conference (WWW 2017) (acceptance rate=17%, 164 out of 966 submissions)

8. Chien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, and Kun-Ta Chuang "Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement" Proc. of the IEEE International Conference on Data Mining (ICDM 2016) (triple-blind review, regular paper, acceptance rate=8.5% out of 923 submissions)

9. C-C. Lin, K.-T. Chuang, W. Wu and M.-S. Chen "Combining Powers of Two Predictors in Optimizing Real-Time Bidding Strategy under Constrained Budget" Proc. of the 2016 ACM International Conference on Information and Knowledge Management (CIKM 2016) (blind review, short paper, acceptance ratio (165+105)/935~28%)

10. Yun Liu, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su, Collin Stultz, John Guttag "Transferring Knowledge from Text to Predict Disease Onset" Machine Learning for Healthcare (blind review)

11. Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang "On the Guarantee of Containment Probability in Influence Minimization" Prof. of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016) (full paper, acceptance ratio 43/316 ~ 13%)

12. Chien-Wei Chang, Po-An Yang, Ming-Han Lyu and Kun-Ta Chuang "Influential Sustainability on Social Networks" Proc. of the IEEE International Conference on Data Mining (ICDM 2015) (triple-blind review, regular paper, acceptance rate=8.4% out of 807 submissions)

13. Chien-Wei Chang, Mi-Yen Yeh and Kun-Ta Chuang "On Influence Maximization to Target Users in the Presence of Multiple Acceptances" Prof. of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015)

14. Shan Yun Teng, Mi-Yen Yeh and Kun-Ta Chuang "Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network" Prof. of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015)

15. Bo-Heng Chen and Kun-Ta Chuang "A Model-Selection Framework for Concept-Drifting Data Streams" Proc. of the 2014 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2014). (blind review, long presentation paper, acceptance rate=10.9%)

16. Ying-Ju Chen, Kun-Ta Chuang, and Ming-Syan Chen "Spatial-Temporal Query Homogeneity for KNN Object Search on Road Networks " Proc. of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), October 27- November 1, 2013. (blind review, full paper, acceptance rate =143/848~16%)

17. Ying-Ju Chen, Kun-Ta Chuang, and Ming-Syan Chen "Coupling or Decoupling for KNN Search on Road Networks? A Hybrid Framework on User Query Patterns" Proc. of the ACM 20th Intern'l Conf. on Information and Knowledge Management (CIKM-11), October 24-28, 2011. (blind review, full paper, acceptance rate =134/917~15%)

18. Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, and Ming-Syan Chen "DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks" Proc. of the 23rd IEEE Intern'l Conf. on Data Engineering (ICDE-07), April 16-20, 2007. (full paper, acceptance rate=122/659~18%)

19. Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, and Ming-Syan Chen "Density Conscious Subspace Clustering for High-Dimensional Data" Proc. of the ACM 15th Intern'l Conf. on Information and Knowledge Management (CIKM-06), November 6-11, 2006. (poster paper, acceptance rate =81(full)+56(poster)/537=25%)

20. Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen "On Exploring the Power-Law Relationship in the Itemset Support Distribution" Proc. of the 10th Intern'l Conf. on Extending Database Technology (EDBT-2006), March 26-30, 2006. (acceptance rate 56/355=16%)

21. Hung-Leng Chen, Kun-Ta Chuang, and Ming-Syan Chen "Toward Highly Efficient Clustering: A Framework of Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values" Proc. of the IEEE 5th Intern'l Conf. on Data Mining (ICDM-2005), November 27-30, 2005. (full paper, acceptance rate=69/630=11%)

22. Kun-Ta Chuang and Ming-Syan Chen "Frequent Pattern Discovery with Memory Constraint" Proc. of the ACM 14th Intern'l Conf. on Information and Knowledge Management (CIKM-05), October 31 - November 5, 2005.

23. Yi-Hong Chu, Kun-Ta Chuang, and Ming-Syan Chen "QED: An Efficient Framework for Temporal Region Query Processing" Proc. of the 9th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-05), May 18-20, 2005. (full paper, acceptance rate=49/327=15%)

24. Kun-Ta Chuang, Wen-Chieh Yang, and Ming-Syan Chen "Progressive Sampling for Association Rules based on Sampling Error Estimation" Proc. of the 9th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-05), May 18-20, 2005. (full paper, acceptance rate=49/327=15%)

25. Kun-Ta Chuang and Ming-Syan Chen "Clustering Categorical Data by Utilizing the Correlated-Force Ensemble" Proc. of the 4th SIAM Intern'l Conference on Data Mining (SDM-04), April 22-24, 2004. (regular paper, acceptance rate=26/161=16.1%)

26. Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Clustering Item Data Sets with Association-Taxonomy Similarity" Proc. of the IEEE 3rd Intern'l Conf. on Data Mining (ICDM-2003), November 19-22, 2003. (short paper, acceptance rate=23%)

27. Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Using Category-Based Adherence to Cluster Market-Basket Data" Proc. of the IEEE 2nd Intern'l Conf. on Data Mining (ICDM-2002), December 9-12, 2002. (full paper, acceptance rate=72/369=19%)

28. Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data" Proc. of the 4th International Conference on Data Warehousing and Knowledge Discovery (DaWaK-2002), September 4-6, 2002, pp 42-51.

29. Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "An Efficient Clustering Algorithm for Market Basket Data Based on Small-Large Ratios" Proceedings of the 25th International Computer Software and Applications Conference (COMPSAC 2001), October 8-12, 2001, pp. 505-510.

研究計劃

指導學生情況

主辦及參與國際會議

PC member, the 27th International Joint Conference on Artificial Intelligence (ICJAI) and the 23rd European Conference on Artificial Intelligence (ECAI)(2018)
PC member, the ACM 20th International Conference on Information and Knowledge Management (CIKM)(2015)
PC member, the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2015)(2015)
PC member, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)(2015)