Bi-Ru Dai

38 papers A* 2A 1B 15C 2Journal 7Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection.
PAKDD (1)
Yu-Xiang Wu, Bi-Ru Dai
2023 — conf
Leveraging Supplementary Information for Multi-Modal Fake News Detection.
ICT-DM
Chia-Chun Ho, Bi-Ru Dai
2022 B conf
A Greedy Algorithm for Budgeted Multiple-Product Profit Maximization in Social Network.
MDM
Chun-Cheng Fang, Chia-Chun Ho, Bi-Ru Dai
2021 B conf
Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction.
GLOBECOM
Cheng-Han Chou, Bi-Ru Dai
2020 B conf
Live Stream Highlight Detection Using Chat Messages.
MDM
Chieh-Ming Liaw, Bi-Ru Dai
2020 B conf
Multi-Laplacian GAN with Edge Enhancement for Face Super Resolution.
ICPR
Shanlei Ko, Bi-Ru Dai
2019 — conf
BIOG: An Effective and Efficient Algorithm for Influence Blocking Maximization in Social Networks.
DMBD
Kuei-Sheng Lin, Bi-Ru Dai
2018 B conf
A Multi-Label Threshold Learning Framework for Propagation Algorithms on a Non-Feature Network.
GLOBECOM
Ye-Yan Zeng, Bi-Ru Dai
2018 A* conf
A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem.
ICDM
Yi Tang, Bi-Ru Dai
2017 J jnl
A hybrid NSCT domain image watermarking scheme.
EURASIP J. Image Video Process.
Kai-Lung Hua, Bi-Ru Dai, Kathiravan Srinivasan, You-Hsiang Hsu, Vishal Sharma
2017 B conf
Accelerating K-Means by Grouping Points Automatically.
DaWaK
Qiao Yu, Bi-Ru Dai
2017 B conf
Reweighting Forest for Extreme Multi-label Classification.
DaWaK
Zhun-Zheng Lin, Bi-Ru Dai
2016 B conf
A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels.
DaWaK
Chih-Heng Chung, Bi-Ru Dai
2016 B conf
A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts.
DaWaK
Sin-Kai Wang, Bi-Ru Dai
2016 B conf
Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users.
DaWaK
Mu-Yao Fang, Bi-Ru Dai
2015 — conf
A Model of Relevant Common Author and Citation Authority Propagation for Citation Recommendation.
MDM (2)
Bo-Yu Hsiao, Chih-Heng Chung, Bi-Ru Dai
2015 — conf
A Weighted Distance Similarity Model to Improve the Accuracy of Collaborative Recommender System.
MDM (2)
Bing-Hao Huang, Bi-Ru Dai
2014 J jnl
A fragment-based iterative consensus clustering algorithm with a robust similarity.
Knowl. Inf. Syst.
Chih-Heng Chung, Bi-Ru Dai
2014 — conf
Classifying the TRIZ Contradiction Problem of the Patents Based on Engineering Parameters.
TAAI
Chung-Kai Tseng, Chih-Heng Chung, Bi-Ru Dai
2014 — conf
Predicting Locations of Mobile Users Based on Behavior Semantic Mining.
PAKDD Workshops
Huei-Yu Lung, Chih-Heng Chung, Bi-Ru Dai
2013 — conf
Opinion Mining on Social Media Data.
MDM (2)
Po-Wei Liang, Bi-Ru Dai
2012 — conf
Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition.
IEEE CLOUD
Bi-Ru Dai, I-Chang Lin
2012 B conf
LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity.
Discovery Science
Bi-Ru Dai, Chih-Heng Chung
2011 B conf
A Framework of Recommendation System Based on Both Network Structure and Messages.
ASONAM
Bi-Ru Dai, Chang-Yi Lee, Chih-Heng Chung
2011 — conf
An Instance Selection Algorithm Based on Reverse Nearest Neighbor.
PAKDD (1)
Bi-Ru Dai, Shu-Ming Hsu
2011 — conf
Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations.
ICDM Workshops
Bi-Ru Dai, Meng-Yan Lin
2011 J jnl
Improved inverse halftoning using vector and texture-lookup table-based learning approach.
Expert Syst. Appl.
Yong-Huai Huang, Kuo-Liang Chung, Bi-Ru Dai
2009 B conf
A Decision Tree Based Quasi-Identifier Perturbation Technique for Preserving Privacy in Data Mining.
RCIS
Bi-Ru Dai, Yang-Tze Lin
2009 C conf
iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning.
IEA/AIE
Bi-Ru Dai, Pai-Yu Lin
2008 C conf
Hiding Frequent Patterns under Multiple Sensitive Thresholds.
DEXA
Ya-Ping Kuo, Pai-Yu Lin, Bi-Ru Dai
2007 J jnl
Clustering over Multiple Evolving Streams by Events and Correlations.
IEEE Trans. Knowl. Data Eng.
Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen
2007 J jnl
Constrained data clustering by depth control and progressive constraint relaxation.
VLDB J.
Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen
2007 B conf
Incremental Clustering in Geography and Optimization Spaces.
PAKDD
Chih-Hua Tai, Bi-Ru Dai, Ming-Syan Chen
2007 J jnl
Twain: Two-end association miner with precise frequent exhibition periods.
ACM Trans. Knowl. Discov. Data
Jen-Wei Huang, Bi-Ru Dai, Ming-Syan Chen
2006 J jnl
Adaptive Clustering for Multiple Evolving Streams.
IEEE Trans. Knowl. Data Eng.
Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen
2006 B conf
COMET: Event-Driven Clustering over Multiple Evolving Streams.
PAKDD
Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen
2004 A* conf
Clustering on Demand for Multiple Data Streams.
ICDM
Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen
2003 A conf
On the Techniques for Data Clustering with Numerical Constraints.
SDM
Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen