Kun-Ta Chuang

Orcid: 0000-0002-3914-8550

According to our database1, Kun-Ta Chuang authored at least 77 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series.
ACM Trans. Intell. Syst. Technol., August, 2024

Using Blockchain for Incentive-Driven FHIR-based Health Record Exchange.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024

Optimized Battery Controlling for Smart Homes with Dynamic Insensitive-Zone Adjustment.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023
Modeling Transitions of Inter-segment Patterns for Time Series Representation.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

Strategic Pairwise Selection for Labeling High-Risk Action from Video-Based Data.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

2022
Interactive planning of revisiting-free itinerary for signed-for delivery.
Int. J. Data Sci. Anal., 2022

Online Water Usage Monitoring under Anomalous Interference in Residential Households.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2022

An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Return-of-Interest Conscious Truth Inference for Crowdsourcing Queries.
Proceedings of the 2021 International Conference on Technologies and Applications of Artificial Intelligence, 2021

Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020
Budget-Constrained Real-Time Bidding Optimization: Multiple Predictors Make It Better.
ACM Trans. Knowl. Discov. Data, 2020

Queries of K-discriminative paths on road networks.
Knowl. Inf. Syst., 2020

Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Learning Personal Conscientiousness from Footprints in E-Learning Systems.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Latent Perception Graphs for Personalized Unknowns Recommendation.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Worship prediction: identify followers in celebrity-dived networks.
World Wide Web, 2019

A check-in shielding scheme against acquaintance inference in location-based social networks.
World Wide Web, 2019

An active learning-based approach for location-aware acquaintance inference.
Knowl. Inf. Syst., 2019

On the discovery of spatial-temporal fluctuating patterns.
Int. J. Data Sci. Anal., 2019

Optimal Delivery Routing in Road Network With Occupancy Detection.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

2018
Node reactivation model to intensify influence on network targets.
Knowl. Inf. Syst., 2018

Predictive Team Formation Analysis via Feature Representation Learning on Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Interactive Unknowns Recommendation in E-Learning Systems.
Proceedings of the IEEE International Conference on Data Mining, 2018

Effective Quality Assurance for Data Labels through Crowdsourcing and Domain Expert Collaboration.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
Toward Mining Stop-by Behaviors in Indoor Space.
ACM Trans. Spatial Algorithms Syst., 2017

Toward mining user movement behaviors in indoor environments.
ACM SIGSPATIAL Special, 2017

Mining spatio-temporal chaining patterns in non-identity event databases.
Intell. Data Anal., 2017

Monetary Discount Strategies for Real-Time Promotion Campaign.
Proceedings of the 26th International Conference on World Wide Web, 2017

Mining Temporal Fluctuating Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016
Mobile-friendly and streaming web-based data visualization.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

Generation of Conceptual-Level Text Cloud with Graph Diffusion.
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, 2016

Transferring Knowledge from Text to Predict Disease Onset.
Proceedings of the 1st Machine Learning in Health Care, 2016

On Instant Knowledge Evolution from Learning User Search Intent.
Proceedings of the IEEE International Conference on Web Services, 2016

Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Combining Powers of Two Predictors in Optimizing Real-Time Bidding Strategy under Constrained Budget.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On the guarantee of containment probability in influence minimization.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Binary Descriptor Based Nonparametric Background Modeling for Foreground Extraction by Using Detection Theory.
IEEE Trans. Circuits Syst. Video Technol., 2015

Spatiotemporal crowdsourcing behavior: Analysis on OpenStreetMap.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Learning Knowledge from User Search.
Proceedings of the 27th Conference on Computational Linguistics and Speech Processing, 2015

Lane detection in surveillance videos using vector-based hierarchy clustering and density verification.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Influential Sustainability on Social Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

On Influence Maximization to Target Users in the Presence of Multiple Acceptances.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Discovery of Spatiotemporal Chaining Patterns.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014
Web-Based Recording and Visualization Framework for Moving Trajectories [In Chinese].
Proceedings of the 26th Conference on Computational Linguistics and Speech Processing, 2014

Toward Mining User Traversal Patterns in the Indoor Environment.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Efficient Gossiping Dissemination in Mobile Peer-to-Peer Environment Based on Neighborhood Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

A model-selection framework for concept-drifting data streams.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Toward mining anomalous behavior from big moving trajectories in surveillance video.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013
Maintain User Locations on Google Cloud Considering Users Privacy and Energy Saving for Mobile Social Networking Applications.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Bluetooth-Based Mobile P2P Framework for Preference-Aware Data Dissemination on Social Networks.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Spatial-temporal query homogeneity for KNN object search on road networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A One-Phase Method for Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

2011
Coupling or decoupling for KNN search on road networks?: a hybrid framework on user query patterns.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Density Conscious Subspace Clustering for High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2010

2009
Feature-preserved sampling over streaming data.
ACM Trans. Knowl. Discov. Data, 2009

2008
Power-law relationship and self-similarity in the itemset support distribution: analysis and applications.
VLDB J., 2008

Mining <i>top-k</i> frequent patterns in the presence of the memory constraint.
VLDB J., 2008

Toward the Optimal Itinerary-Based KNN Query Processing in Mobile Sensor Networks.
IEEE Trans. Knowl. Data Eng., 2008

On Data Labeling for Clustering Categorical Data.
IEEE Trans. Knowl. Data Eng., 2008

2007
Efficient Process of Top-k Range-Sum Queries over Multiple Streams with Minimized Global Error.
IEEE Trans. Knowl. Data Eng., 2007

Quality-Aware Sampling and Its Applications in Incremental Data Mining.
IEEE Trans. Knowl. Data Eng., 2007

DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Adherence clustering: an efficient method for mining market-basket clusters.
Inf. Syst., 2006

On Exploring the Power-Law Relationship in the Itemset Support Distribution.
Proceedings of the Advances in Database Technology, 2006

On subspace clustering with density consciousness.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Progressive Sampling for Association Rules Based on Sampling Error Estimation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

QED: An Efficient Framework for Temporal Region Query Processing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Frequent pattern discovery with memory constraint.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Clustering Categorical Data Using the Correlated-Force Ensemble.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

2003
Clustering Item Data Sets with Association-Taxonomy Similarity.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Using Category-Based Adherence to Cluster Market-Basket Data.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

2001
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), 2001


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