Bi-Ru Dai

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 15

Top Topics

Rating Prediction

Clustering Algorithm

Concept Drifting

Watermarking Scheme

Top Venues

Publications

Yu-Xiang Wu, Bi-Ru Dai
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection. PAKDD (1) (2024)
Chia-Chun Ho, Bi-Ru Dai
Leveraging Supplementary Information for Multi-Modal Fake News Detection. ICT-DM (2023)
Chun-Cheng Fang, Chia-Chun Ho, Bi-Ru Dai
A Greedy Algorithm for Budgeted Multiple-Product Profit Maximization in Social Network. MDM (2022)
Cheng-Han Chou, Bi-Ru Dai
Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction. GLOBECOM (2021)
Shanlei Ko, Bi-Ru Dai
Multi-Laplacian GAN with Edge Enhancement for Face Super Resolution. ICPR (2020)
Chieh-Ming Liaw, Bi-Ru Dai
Live Stream Highlight Detection Using Chat Messages. MDM (2020)
Kuei-Sheng Lin, Bi-Ru Dai
BIOG: An Effective and Efficient Algorithm for Influence Blocking Maximization in Social Networks. DMBD (2019)
Ye-Yan Zeng, Bi-Ru Dai
A Multi-Label Threshold Learning Framework for Propagation Algorithms on a Non-Feature Network. GLOBECOM (2018)
Yi Tang, Bi-Ru Dai
A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem. ICDM (2018)
Qiao Yu, Bi-Ru Dai
Accelerating K-Means by Grouping Points Automatically. DaWaK (2017)
Zhun-Zheng Lin, Bi-Ru Dai
Reweighting Forest for Extreme Multi-label Classification. DaWaK (2017)
Kai-Lung Hua, Bi-Ru Dai, Kathiravan Srinivasan, You-Hsiang Hsu, Vishal Sharma
A hybrid NSCT domain image watermarking scheme. EURASIP J. Image Video Process. 2017 (2017)
Sin-Kai Wang, Bi-Ru Dai
A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts. DaWaK (2016)
Chih-Heng Chung, Bi-Ru Dai
A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels. DaWaK (2016)
Mu-Yao Fang, Bi-Ru Dai
Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users. DaWaK (2016)
Bing-Hao Huang, Bi-Ru Dai
A Weighted Distance Similarity Model to Improve the Accuracy of Collaborative Recommender System. MDM (2) (2015)
Bo-Yu Hsiao, Chih-Heng Chung, Bi-Ru Dai
A Model of Relevant Common Author and Citation Authority Propagation for Citation Recommendation. MDM (2) (2015)
Huei-Yu Lung, Chih-Heng Chung, Bi-Ru Dai
Predicting Locations of Mobile Users Based on Behavior Semantic Mining. PAKDD Workshops (2014)
Chung-Kai Tseng, Chih-Heng Chung, Bi-Ru Dai
Classifying the TRIZ Contradiction Problem of the Patents Based on Engineering Parameters. TAAI (2014)
Chih-Heng Chung, Bi-Ru Dai
A fragment-based iterative consensus clustering algorithm with a robust similarity. Knowl. Inf. Syst. 41 (3) (2014)
Po-Wei Liang, Bi-Ru Dai
Opinion Mining on Social Media Data. MDM (2) (2013)
Bi-Ru Dai, I-Chang Lin
Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition. IEEE CLOUD (2012)
Bi-Ru Dai, Chih-Heng Chung
LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity. Discovery Science (2012)
Bi-Ru Dai, Meng-Yan Lin
Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations. ICDM Workshops (2011)
Bi-Ru Dai, Chang-Yi Lee, Chih-Heng Chung
A Framework of Recommendation System Based on Both Network Structure and Messages. ASONAM (2011)
Yong-Huai Huang, Kuo-Liang Chung, Bi-Ru Dai
Improved inverse halftoning using vector and texture-lookup table-based learning approach. Expert Syst. Appl. 38 (12) (2011)
Bi-Ru Dai, Shu-Ming Hsu
An Instance Selection Algorithm Based on Reverse Nearest Neighbor. PAKDD (1) (2011)
Bi-Ru Dai, Yang-Tze Lin
A Decision Tree Based Quasi-Identifier Perturbation Technique for Preserving Privacy in Data Mining. RCIS (2009)
Bi-Ru Dai, Pai-Yu Lin
iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning. IEA/AIE (2009)
Ya-Ping Kuo, Pai-Yu Lin, Bi-Ru Dai
Hiding Frequent Patterns under Multiple Sensitive Thresholds. DEXA (2008)
Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen
Clustering over Multiple Evolving Streams by Events and Correlations. IEEE Trans. Knowl. Data Eng. 19 (10) (2007)
Jen-Wei Huang, Bi-Ru Dai, Ming-Syan Chen
Twain: Two-end association miner with precise frequent exhibition periods. ACM Trans. Knowl. Discov. Data 1 (2) (2007)
Chih-Hua Tai, Bi-Ru Dai, Ming-Syan Chen
Incremental Clustering in Geography and Optimization Spaces. PAKDD (2007)
Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen
Constrained data clustering by depth control and progressive constraint relaxation. VLDB J. 16 (2) (2007)
Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen
Adaptive Clustering for Multiple Evolving Streams. IEEE Trans. Knowl. Data Eng. 18 (9) (2006)
Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen
COMET: Event-Driven Clustering over Multiple Evolving Streams. PAKDD (2006)
Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen
Clustering on Demand for Multiple Data Streams. ICDM (2004)
Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen
On the Techniques for Data Clustering with Numerical Constraints. SDM (2003)