Bi-Ru Dai

Orcid: 0000-0003-4791-9914

According to our database1, Bi-Ru Dai authored at least 38 papers between 2003 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Leveraging Supplementary Information for Multi-Modal Fake News Detection.
Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2023

2022
A Greedy Algorithm for Budgeted Multiple-Product Profit Maximization in Social Network.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021
Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Live Stream Highlight Detection Using Chat Messages.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Multi-Laplacian GAN with Edge Enhancement for Face Super Resolution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
BIOG: An Effective and Efficient Algorithm for Influence Blocking Maximization in Social Networks.
Proceedings of the Data Mining and Big Data - 4th International Conference, 2019

2018
A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

A Multi-Label Threshold Learning Framework for Propagation Algorithms on a Non-Feature Network.
Proceedings of the IEEE Global Communications Conference, 2018

2017
A hybrid NSCT domain image watermarking scheme.
EURASIP J. Image Video Process., 2017

Accelerating K-Means by Grouping Points Automatically.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Reweighting Forest for Extreme Multi-label Classification.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

2015
A Weighted Distance Similarity Model to Improve the Accuracy of Collaborative Recommender System.
Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

A Model of Relevant Common Author and Citation Authority Propagation for Citation Recommendation.
Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

2014
A fragment-based iterative consensus clustering algorithm with a robust similarity.
Knowl. Inf. Syst., 2014

Classifying the TRIZ Contradiction Problem of the Patents Based on Engineering Parameters.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2014

Predicting Locations of Mobile Users Based on Behavior Semantic Mining.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

2013
Opinion Mining on Social Media Data.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

2012
LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity.
Proceedings of the Discovery Science - 15th International Conference, 2012

Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
Improved inverse halftoning using vector and texture-lookup table-based learning approach.
Expert Syst. Appl., 2011

An Instance Selection Algorithm Based on Reverse Nearest Neighbor.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations.
Proceedings of the Data Mining Workshops (ICDMW), 2011

A Framework of Recommendation System Based on Both Network Structure and Messages.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2009
A Decision Tree Based Quasi-Identifier Perturbation Technique for Preserving Privacy in Data Mining.
Proceedings of the Third IEEE International Conference on Research Challenges in Information Science, 2009

iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning.
Proceedings of the Next-Generation Applied Intelligence, 2009

2008
Hiding Frequent Patterns under Multiple Sensitive Thresholds.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2007
Constrained data clustering by depth control and progressive constraint relaxation.
VLDB J., 2007

Clustering over Multiple Evolving Streams by Events and Correlations.
IEEE Trans. Knowl. Data Eng., 2007

Twain: Two-end association miner with precise frequent exhibition periods.
ACM Trans. Knowl. Discov. Data, 2007

Incremental Clustering in Geography and Optimization Spaces.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006
Adaptive Clustering for Multiple Evolving Streams.
IEEE Trans. Knowl. Data Eng., 2006

COMET: Event-Driven Clustering over Multiple Evolving Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2004
Clustering on Demand for Multiple Data Streams.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
On the Techniques for Data Clustering with Numerical Constraints.
Proceedings of the Third SIAM International Conference on Data Mining, 2003


  Loading...