Bi-Ru Dai

发表

Incremental Clustering in Geography and Optimization Spaces

Ming-Syan Chen, Chih-Hua Tai, Bi-Ru Dai, 2007, PAKDD.

A Weighted Distance Similarity Model to Improve the Accuracy of Collaborative Recommender System

Bi-Ru Dai, Bing-Hao Huang, Bing Huang, 2015, 2015 16th IEEE International Conference on Mobile Data Management.

An Ensemble Learning Approach for Concept Drift

Bi-Ru Dai, Jian-Wei Liao, Bi-Ru Dai, 2014, 2014 International Conference on Information Science & Applications (ICISA).

Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users

Bi-Ru Dai, Mu-Yao Fang, Bi-Ru Dai, 2016, DaWaK.

Hiding Frequent Patterns under Multiple Sensitive Thresholds

Bi-Ru Dai, Ya-Ping Kuo, Pai-Yu Lin, 2008, DEXA.

A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts

Bi-Ru Dai, Sin-Kai Wang, Bi-Ru Dai, 2016, DaWaK.

iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning

Bi-Ru Dai, Pai-Yu Lin, 2009, IEA/AIE.

A Framework of Recommendation System Based on Both Network Structure and Messages

Bi-Ru Dai, Chang-Yi Lee, Chih-Heng Chung, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Constrained data clustering by depth control and progressive constraint relaxation

Ming-Syan Chen, Cheng-Ru Lin, Bi-Ru Dai, 2005, The VLDB Journal.

Live Stream Highlight Detection Using Chat Messages

Bi-Ru Dai, Chieh-Ming Liaw, 2020, 2020 21st IEEE International Conference on Mobile Data Management (MDM).

On the Techniques for Data Clustering with Numerical Constraints

Ming-Syan Chen, Cheng-Ru Lin, Bi-Ru Dai, 2003, SDM.

Twain: Two-end association miner with precise frequent exhibition periods

Ming-Syan Chen, Jen-Wei Huang, Bi-Ru Dai, 2007, TKDD.

Clustering over Multiple Evolving Streams by Events and Correlations

Ming-Syan Chen, Mi-Yen Yeh, Bi-Ru Dai, 2007, IEEE Transactions on Knowledge and Data Engineering.

Mining Top-K Sequential Patterns in the Data Stream Environment

Bi-Ru Dai, Chih-Heng Chung, Hung-Lin Jiang, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

An Instance Selection Algorithm Based on Reverse Nearest Neighbor

Bi-Ru Dai, Shu-Ming Hsu, 2011, PAKDD.

Reweighting Forest for Extreme Multi-label Classification

Bi-Ru Dai, Zhun-Zheng Lin, Bi-Ru Dai, 2017, DaWaK.

Hiding Frequent Patterns in the Updated Database

Bi-Ru Dai, Li-Hsiang Chiang, Bi-Ru Dai, 2010, 2010 International Conference on Information Science and Applications.

Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition

Bi-Ru Dai, I-Chang Lin, Bi-Ru Dai, 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

CSM: A Framework of Recommendation System Combining Network Structure and Messages

Bi-Ru Dai, Chang-Yi Lee, Chang-Yi Lee, 2011 .

Adaptive Clustering for Multiple Evolving Streams

Ming-Syan Chen, Mi-Yen Yeh, Jen-Wei Huang, 2006, IEEE Transactions on Knowledge and Data Engineering.

BIOG: An Effective and Efficient Algorithm for Influence Blocking Maximization in Social Networks

Bi-Ru Dai, Kuei-Sheng Lin, 2019, DMBD.

Classifying the TRIZ Contradiction Problem of the Patents Based on Engineering Parameters

Bi-Ru Dai, Chih-Heng Chung, Chung-Kai Tseng, 2014, TAAI.

A hybrid NSCT domain image watermarking scheme

Kathiravan Srinivasan, Kai-Lung Hua, Vishal Sharma, 2017, EURASIP J. Image Video Process..

Predicting Locations of Mobile Users Based on Behavior Semantic Mining

Bi-Ru Dai, Chih-Heng Chung, Huei-Yu Lung, 2014, PAKDD Workshops.

A Multi-Label Threshold Learning Framework for Propagation Algorithms on a Non-Feature Network

Bi-Ru Dai, Ye-Yan Zeng, 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

Improved inverse halftoning using vector and texture-lookup table-based learning approach

Kuo-Liang Chung, Yong-Huai Huang, Bi-Ru Dai, 2011, Expert Syst. Appl..

A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels

Bi-Ru Dai, Chih-Heng Chung, 2016, DaWaK.

Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations

Bi-Ru Dai, Meng-Yan Lin, Meng-Yan Lin, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

COMET: Event-Driven Clustering over Multiple Evolving Streams

Ming-Syan Chen, Mi-Yen Yeh, Bi-Ru Dai, 2006, PAKDD.

Opinion Mining on Social Media Data

Bi-Ru Dai, Po-Wei Liang, Bi-Ru Dai, 2013, 2013 IEEE 14th International Conference on Mobile Data Management.

A Model of Relevant Common Author and Citation Authority Propagation for Citation Recommendation

Bi-Ru Dai, Chih-Heng Chung, Bo-Yu Hsiao, 2015, 2015 16th IEEE International Conference on Mobile Data Management.

A decision tree based quasi-identifier perturbation technique for preserving privacy in data mining

Bi-Ru Dai, Yang-Tze Lin, 2009, 2009 Third International Conference on Research Challenges in Information Science.

Clustering on demand for multiple data streams

Ming-Syan Chen, Mi-Yen Yeh, Jen-Wei Huang, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity

Bi-Ru Dai, Chih-Heng Chung, 2012, Discovery Science.

A fragment-based iterative consensus clustering algorithm with a robust similarity

Bi-Ru Dai, Chih-Heng Chung, 2013, Knowledge and Information Systems.

Accelerating K-Means by Grouping Points Automatically

Bi-Ru Dai, Qiao Yu, Qiao Yu, 2017, DaWaK.

A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem

Bi-Ru Dai, Yi Tang, Bi-Ru Dai, 2018, ICDM.