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Kun-Ta Chuang
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2020 – today
- 2024
- [j22]Lo Pang-Yun Ting, Rong Chao, Chai-Shi Chang, Kun-Ta Chuang:
An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series. ACM Trans. Intell. Syst. Technol. 15(4): 69:1-69:25 (2024) - [c55]Lo Pang-Yun Ting, Yu-Hao Chiang, Yu-Hsiang Chang, Michihiro Konagai, Kun-Ta Chuang:
Optimized Battery Controlling for Smart Homes with Dynamic Insensitive-Zone Adjustment. GCCE 2024: 1257-1259 - [c54]Yu-Hsiang Chang, Lo Pang-Yun Ting, Wei-Cheng Yin, Ko-Wei Su, Kun-Ta Chuang:
Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis. PAKDD (Workshops) 2024: 148-160 - [c53]Lo Pang-Yun Ting, Chi-Chun Lin, Shih-Hsun Lin, Yu-Lin Chu, Kun-Ta Chuang:
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations. PAKDD (5) 2024: 284-296 - [c52]Moritz Rosar, Kun-Ta Chuang:
Using Blockchain for Incentive-Driven FHIR-based Health Record Exchange. SAC 2024: 298-299 - 2023
- [c51]Kuan-Ting Chen, Bo-Heng Chen, Kun-Ta Chuang:
Strategic Pairwise Selection for Labeling High-Risk Action from Video-Based Data. TAAI (1) 2023: 46-60 - [c50]I-Fu Sun, Lo Pang-Yun Ting, Ko-Wei Su, Kun-Ta Chuang:
Modeling Transitions of Inter-segment Patterns for Time Series Representation. TAAI (1) 2023: 61-74 - 2022
- [j21]Lo Pang-Yun Ting, Shan-Yun Teng, Szu-Chan Wu, Kun-Ta Chuang:
Interactive planning of revisiting-free itinerary for signed-for delivery. Int. J. Data Sci. Anal. 14(4): 439-456 (2022) - [c49]Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang:
An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management. PAKDD (3) 2022: 132-146 - [c48]Rong Chao, Lo Pang-Yun Ting, Kun-Ta Chuang:
Online Water Usage Monitoring under Anomalous Interference in Residential Households. TAAI 2022: 66-71 - 2021
- [c47]Lo Pang-Yun Ting, Po-Hui Wu, Jhe-Yun Jhang, Kai-Jun Yang, Yen-Ju Chen, Kun-Ta Chuang:
Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies. DaWaK 2021: 272-279 - [c46]Lok-Him Leung, Po-An Yang, Kun-Ta Chuang:
Return-of-Interest Conscious Truth Inference for Crowdsourcing Queries. TAAI 2021: 60-65 - 2020
- [j20]Chien-Wei Chang, Chu-Di Chen, Kun-Ta Chuang:
Queries of K-discriminative paths on road networks. Knowl. Inf. Syst. 62(5): 1751-1780 (2020) - [j19]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 Trans. Knowl. Discov. Data 14(2): 14:1-14:27 (2020) - [c45]Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, Huan Liu:
Learning Latent Perception Graphs for Personalized Unknowns Recommendation. CogMI 2020: 32-41 - [c44]Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim:
Learning Personal Conscientiousness from Footprints in E-Learning Systems. ICDM 2020: 1292-1297 - [c43]Lo Pang-Yun Ting, Tiago Koketsu Rodrigues, Nei Kato, Kun-Ta Chuang:
Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation. VTC Fall 2020: 1-5
2010 – 2019
- 2019
- [j18]Shan-Yun Teng, Cheng-Kuan Ou, Kun-Ta Chuang:
On the discovery of spatial-temporal fluctuating patterns. Int. J. Data Sci. Anal. 8(1): 57-75 (2019) - [j17]Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang:
An active learning-based approach for location-aware acquaintance inference. Knowl. Inf. Syst. 59(3): 539-569 (2019) - [j16]Shan-Yun Teng, Lo Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang:
Worship prediction: identify followers in celebrity-dived networks. World Wide Web 22(1): 347-373 (2019) - [j15]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 22(6): 2321-2354 (2019) - [c42]Shan-Yun Teng, Szu-Chan Wu, Kun-Ta Chuang:
Optimal Delivery Routing in Road Network With Occupancy Detection. MDM 2019: 575-580 - 2018
- [j14]Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang:
Node reactivation model to intensify influence on network targets. Knowl. Inf. Syst. 54(3): 567-590 (2018) - [c41]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. EDBT 2018: 646-649 - [c40]Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu:
Interactive Unknowns Recommendation in E-Learning Systems. ICDM 2018: 497-506 - [c39]Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang:
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks. PAKDD (3) 2018: 790-802 - 2017
- [j13]Bo-Heng Chen, Shan-Yun Teng, Kun-Ta Chuang:
Mining spatio-temporal chaining patterns in non-identity event databases. Intell. Data Anal. 21(S1): S71-S102 (2017) - [j12]Shan-Yun Teng, Wei-Shinn Ku, Kun-Ta Chuang:
Toward mining user movement behaviors in indoor environments. ACM SIGSPATIAL Special 9(2): 19-27 (2017) - [j11]Shan-Yun Teng, Wei-Shinn Ku, Kun-Ta Chuang:
Toward Mining Stop-by Behaviors in Indoor Space. ACM Trans. Spatial Algorithms Syst. 3(2): 7:1-7:38 (2017) - [c38]Shan-Yun Teng, Cheng-Kuan Ou, Kun-Ta Chuang:
Mining Temporal Fluctuating Patterns. PAKDD (1) 2017: 773-785 - [c37]Ying-Chun Lin, Chi-Hsuan Huang, Chu-Cheng Hsieh, Yu-Chen Shu, Kun-Ta Chuang:
Monetary Discount Strategies for Real-Time Promotion Campaign. WWW 2017: 1123-1132 - 2016
- [c36]Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang:
On the guarantee of containment probability in influence minimization. ASONAM 2016: 231-238 - [c35]Chi-Chun Lin, Kun-Ta Chuang, Wush Chi-Hsuan Wu, Ming-Syan Chen:
Combining Powers of Two Predictors in Optimizing Real-Time Bidding Strategy under Constrained Budget. CIKM 2016: 2143-2148 - [c34]Chien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, Kun-Ta Chuang:
Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement. ICDM 2016: 61-70 - [c33]Yen-Kuan Lee, Pei-Hsuan Hsieh, Chi-Hsuan Huang, Kun-Ta Chuang:
On Instant Knowledge Evolution from Learning User Search Intent. ICWS 2016: 562-569 - [c32]Yun Liu, Collin M. Stultz, John V. Guttag, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su:
Transferring Knowledge from Text to Predict Disease Onset. MLHC 2016: 150-163 - [c31]Ying-Chun Lin, Po-An Yang, Yen-Kuan Lee, Kun-Ta Chuang:
Generation of Conceptual-Level Text Cloud with Graph Diffusion. ROCLING 2016 - [c30]LiJung Chi, Chi-Hsuan Huang, Kun-Ta Chuang:
Mobile-friendly and streaming web-based data visualization. TAAI 2016: 124-129 - [i1]Yun Liu, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su, Collin M. Stultz, John V. Guttag:
Transferring Knowledge from Text to Predict Disease Onset. CoRR abs/1608.02071 (2016) - 2015
- [j10]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 Technol. 25(4): 595-608 (2015) - [c29]Bo-Heng Chen, Ai-Wei Chuang, Kun-Ta Chuang:
Discovery of Spatiotemporal Chaining Patterns. ASE BD&SI 2015: 51:1-51:10 - [c28]Shan-Yun Teng, Mi-Yen Yeh, Kun-Ta Chuang:
Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network. ASONAM 2015: 266-269 - [c27]Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang:
On Influence Maximization to Target Users in the Presence of Multiple Acceptances. ASONAM 2015: 1592-1593 - [c26]Chien-Wei Chang, Po-An Yang, Ming-Han Lyu, Kun-Ta Chuang:
Influential Sustainability on Social Networks. ICDM 2015: 31-40 - [c25]Shan-Yun Teng, Kun-Ta Chuang, Chun-Rong Huang, Cheng-Chun Li:
Lane detection in surveillance videos using vector-based hierarchy clustering and density verification. MVA 2015: 345-348 - [c24]Yen-Kuan Lee, Kun-Ta Chuang:
Learning Knowledge from User Search. ROCLING 2015 - [c23]Tzu-Yuan Chung, Kun-Ta Chuang, Cheng-Mao Hsu, Wei-Shinn Ku:
Spatiotemporal crowdsourcing behavior: Analysis on OpenStreetMap. TAAI 2015: 373-380 - 2014
- [c22]Chien-Wei Chang, Min-Hsiang Yang, Cheng-Chun Li, Kun-Ta Chuang:
Toward mining anomalous behavior from big moving trajectories in surveillance video. CASE 2014: 1121-1126 - [c21]Bo-Heng Chen, Kun-Ta Chuang:
A model-selection framework for concept-drifting data streams. DSAA 2014: 290-296 - [c20]Yu-Jen Lin, Bo-Heng Chen, Kun-Ta Chuang, Chao-Chun Chen:
Efficient Gossiping Dissemination in Mobile Peer-to-Peer Environment Based on Neighborhood Detection. PAKDD Workshops 2014: 156-167 - [c19]Shan-Yun Teng, Tzu-Yuan Chung, Kun-Ta Chuang, Wei-Shinn Ku:
Toward Mining User Traversal Patterns in the Indoor Environment. PAKDD Workshops 2014: 677-688 - [c18]Po-An Yang, LiJung Chi, Kun-Ta Chuang, Seth Chen, Jonathan Tsai, Yung-Chung Ku:
Web-Based Recording and Visualization Framework for Moving Trajectories [In Chinese]. ROCLING 2014 - 2013
- [c17]Ying-Ju Chen, Kun-Ta Chuang, Ming-Syan Chen:
Spatial-temporal query homogeneity for KNN object search on road networks. CIKM 2013: 1019-1028 - [c16]Kun-Ta Chuang, Yu-Jen Lin, Chao-Chun Chen:
Bluetooth-Based Mobile P2P Framework for Preference-Aware Data Dissemination on Social Networks. MDM (2) 2013: 110-115 - [c15]Ramon Dario Borja Martinez, Chao-Chun Chen, Kun-Ta Chuang:
Maintain User Locations on Google Cloud Considering Users Privacy and Energy Saving for Mobile Social Networking Applications. MDM (2) 2013: 119-121 - 2012
- [c14]Bai-En Shie, Ji-Hong Cheng, Kun-Ta Chuang, Vincent S. Tseng:
A One-Phase Method for Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments. IEA/AIE 2012: 616-626 - 2011
- [c13]Ying-Ju Chen, Kun-Ta Chuang, Ming-Syan Chen:
Coupling or decoupling for KNN search on road networks?: a hybrid framework on user query patterns. CIKM 2011: 795-804 - 2010
- [j9]Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, De-Nian Yang, Ming-Syan Chen:
Density Conscious Subspace Clustering for High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 22(1): 16-30 (2010)
2000 – 2009
- 2009
- [j8]Kun-Ta Chuang, Hung-Leng Chen, Ming-Syan Chen:
Feature-preserved sampling over streaming data. ACM Trans. Knowl. Discov. Data 2(4): 15:1-15:45 (2009) - 2008
- [j7]Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen:
On Data Labeling for Clustering Categorical Data. IEEE Trans. Knowl. Data Eng. 20(11): 1458-1472 (2008) - [j6]Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, Ming-Syan Chen:
Toward the Optimal Itinerary-Based KNN Query Processing in Mobile Sensor Networks. IEEE Trans. Knowl. Data Eng. 20(12): 1655-1668 (2008) - [j5]Kun-Ta Chuang, Jiun-Long Huang, Ming-Syan Chen:
Power-law relationship and self-similarity in the itemset support distribution: analysis and applications. VLDB J. 17(5): 1121-1141 (2008) - [j4]Kun-Ta Chuang, Jiun-Long Huang, Ming-Syan Chen:
Mining top-k frequent patterns in the presence of the memory constraint. VLDB J. 17(5): 1321-1344 (2008) - 2007
- [j3]Kun-Ta Chuang, Keng-Pei Lin, Ming-Syan Chen:
Quality-Aware Sampling and Its Applications in Incremental Data Mining. IEEE Trans. Knowl. Data Eng. 19(4): 468-484 (2007) - [j2]Hao-Ping Hung, Kun-Ta Chuang, Ming-Syan Chen:
Efficient Process of Top-k Range-Sum Queries over Multiple Streams with Minimized Global Error. IEEE Trans. Knowl. Data Eng. 19(10): 1404-1419 (2007) - [c12]Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, Ming-Syan Chen:
DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks. ICDE 2007: 456-465 - 2006
- [j1]Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen:
Adherence clustering: an efficient method for mining market-basket clusters. Inf. Syst. 31(3): 170-186 (2006) - [c11]Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, Ming-Syan Chen:
On subspace clustering with density consciousness. CIKM 2006: 804-805 - [c10]Kun-Ta Chuang, Jiun-Long Huang, Ming-Syan Chen:
On Exploring the Power-Law Relationship in the Itemset Support Distribution. EDBT 2006: 682-699 - 2005
- [c9]Kun-Ta Chuang, Ming-Syan Chen:
Frequent pattern discovery with memory constraint. CIKM 2005: 345-346 - [c8]Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen:
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values. ICDM 2005: 106-113 - [c7]Yi-Hong Chu, Kun-Ta Chuang, Ming-Syan Chen:
QED: An Efficient Framework for Temporal Region Query Processing. PAKDD 2005: 323-332 - [c6]Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang:
Progressive Sampling for Association Rules Based on Sampling Error Estimation. PAKDD 2005: 505-515 - 2004
- [c5]Ming-Syan Chen, Kun-Ta Chuang:
Clustering Categorical Data Using the Correlated-Force Ensemble. SDM 2004: 269-278 - 2003
- [c4]Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen:
Clustering Item Data Sets with Association-Taxonomy Similarity. ICDM 2003: 697-700 - 2002
- [c3]Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen:
Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data. DaWaK 2002: 42-51 - [c2]Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen:
Using Category-Based Adherence to Cluster Market-Basket Data. ICDM 2002: 546-553 - 2001
- [c1]Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen:
An Efficient Clustering Algorithm for Market Basket Data Based on Small Large Ratios. COMPSAC 2001: 505-510
Coauthor Index
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