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Bi-Ru Dai
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2020 – today
- 2024
- [c31]Yu-Xiang Wu
, Bi-Ru Dai
:
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection. PAKDD (1) 2024: 41-52 - 2023
- [c30]Chia-Chun Ho, Bi-Ru Dai:
Leveraging Supplementary Information for Multi-Modal Fake News Detection. ICT-DM 2023: 1-5 - 2022
- [c29]Chun-Cheng Fang, Chia-Chun Ho
, Bi-Ru Dai:
A Greedy Algorithm for Budgeted Multiple-Product Profit Maximization in Social Network. MDM 2022: 440-445 - 2021
- [c28]Cheng-Han Chou, Bi-Ru Dai:
Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction. GLOBECOM 2021: 1-6 - 2020
- [c27]Shanlei Ko, Bi-Ru Dai:
Multi-Laplacian GAN with Edge Enhancement for Face Super Resolution. ICPR 2020: 3505-3512 - [c26]Chieh-Ming Liaw, Bi-Ru Dai:
Live Stream Highlight Detection Using Chat Messages. MDM 2020: 328-332
2010 – 2019
- 2019
- [c25]Kuei-Sheng Lin, Bi-Ru Dai:
BIOG: An Effective and Efficient Algorithm for Influence Blocking Maximization in Social Networks. DMBD 2019: 328-337 - 2018
- [c24]Ye-Yan Zeng, Bi-Ru Dai:
A Multi-Label Threshold Learning Framework for Propagation Algorithms on a Non-Feature Network. GLOBECOM 2018: 1-6 - [c23]Yi Tang, Bi-Ru Dai:
A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem. ICDM 2018: 240-253 - 2017
- [j7]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: 10 (2017) - [c22]Qiao Yu
, Bi-Ru Dai:
Accelerating K-Means by Grouping Points Automatically. DaWaK 2017: 199-213 - [c21]Zhun-Zheng Lin, Bi-Ru Dai:
Reweighting Forest for Extreme Multi-label Classification. DaWaK 2017: 286-299 - 2016
- [c20]Mu-Yao Fang, Bi-Ru Dai:
Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users. DaWaK 2016: 179-192 - [c19]Sin-Kai Wang, Bi-Ru Dai:
A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts. DaWaK 2016: 255-266 - [c18]Chih-Heng Chung, Bi-Ru Dai:
A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels. DaWaK 2016: 267-280 - 2015
- [c17]Bing-Hao Huang, Bi-Ru Dai:
A Weighted Distance Similarity Model to Improve the Accuracy of Collaborative Recommender System. MDM (2) 2015: 104-109 - [c16]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: 117-119 - 2014
- [j6]Chih-Heng Chung, Bi-Ru Dai:
A fragment-based iterative consensus clustering algorithm with a robust similarity. Knowl. Inf. Syst. 41(3): 591-609 (2014) - [c15]Huei-Yu Lung, Chih-Heng Chung, Bi-Ru Dai:
Predicting Locations of Mobile Users Based on Behavior Semantic Mining. PAKDD Workshops 2014: 168-180 - [c14]Chung-Kai Tseng, Chih-Heng Chung, Bi-Ru Dai:
Classifying the TRIZ Contradiction Problem of the Patents Based on Engineering Parameters. TAAI 2014: 344-353 - 2013
- [c13]Po-Wei Liang, Bi-Ru Dai:
Opinion Mining on Social Media Data. MDM (2) 2013: 91-96 - 2012
- [c12]Bi-Ru Dai, I-Chang Lin:
Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition. IEEE CLOUD 2012: 59-66 - [c11]Bi-Ru Dai, Chih-Heng Chung:
LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity. Discovery Science 2012: 154-168 - 2011
- [j5]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): 15573-15581 (2011) - [c10]Bi-Ru Dai, Chang-Yi Lee, Chih-Heng Chung:
A Framework of Recommendation System Based on Both Network Structure and Messages. ASONAM 2011: 709-714 - [c9]Bi-Ru Dai, Meng-Yan Lin:
Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations. ICDM Workshops 2011: 861-868 - [c8]Bi-Ru Dai, Shu-Ming Hsu:
An Instance Selection Algorithm Based on Reverse Nearest Neighbor. PAKDD (1) 2011: 1-12
2000 – 2009
- 2009
- [c7]Bi-Ru Dai, Pai-Yu Lin:
iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning. IEA/AIE 2009: 757-766 - [c6]Bi-Ru Dai, Yang-Tze Lin:
A Decision Tree Based Quasi-Identifier Perturbation Technique for Preserving Privacy in Data Mining. RCIS 2009: 187-196 - 2008
- [c5]Ya-Ping Kuo, Pai-Yu Lin, Bi-Ru Dai:
Hiding Frequent Patterns under Multiple Sensitive Thresholds. DEXA 2008: 5-18 - 2007
- [j4]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): 8 (2007) - [j3]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): 1349-1362 (2007) - [j2]Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen
:
Constrained data clustering by depth control and progressive constraint relaxation. VLDB J. 16(2): 201-217 (2007) - [c4]Chih-Hua Tai, Bi-Ru Dai, Ming-Syan Chen:
Incremental Clustering in Geography and Optimization Spaces. PAKDD 2007: 272-283 - 2006
- [j1]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): 1166-1180 (2006) - [c3]Mi-Yen Yeh
, Bi-Ru Dai, Ming-Syan Chen
:
COMET: Event-Driven Clustering over Multiple Evolving Streams. PAKDD 2006: 719-723 - 2004
- [c2]Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh
, Ming-Syan Chen:
Clustering on Demand for Multiple Data Streams. ICDM 2004: 367-370 - 2003
- [c1]Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen:
On the Techniques for Data Clustering with Numerical Constraints. SDM 2003: 264-268
Coauthor Index
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last updated on 2024-06-03 00:15 CEST by the dblp team
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