戴碧如

副教授
資訊工程系
國立台灣科技大學

地址：台北市106大安區基隆路4 段 43 號
辦公室: T4-514
電話：+886-2-2730-1218
傳真：+886-2-2730-1081
Email:

English Version

學歷

研究領域

  • 資料探勘
  • 資料串流管理
  • 社群網路分析

 

教學

  • 計算機概論
  • 離散數學
  • 計算機結構
  • 資料探勘
  • 資料串流探勘
  • 高等資料探勘

 

著作

 

期刊論文


  1. 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)(SCI)

  2. Bi-Ru Dai, Chang-Yi Lee: CSM: A Framework of Recommendation System Combining Network Structure and Messages. Journal of Computers, 22(2): 11-22 (2011) (EI)

  3. 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)(SCI)

  4. Jen-Wei Huang, Bi-Ru Dai, Ming-Syan Chen: Twain: Two-end association miner with precise frequent exhibition periods. TKDD 1(2): 8 (2007)(SCI)

  5. 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)(SCI)

  6. 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)(SCI)

  7. Bi-Ru Dai and Ming-Syan Chen: Constrained Clustering for the Evolving Data Stream. Journal of Computers, Special issue on Data Mining, Vol.17, No.4. (2007)

  8. 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)(SCI)

 
國際會議論文


  1. 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

  2. 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

  3. 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

  4. Bing-Hao Huang, Bi-Ru Dai: A Weighted Distance Similarity Model to Improve the Accuracy of Collaborative Recommender System. MDM (2) 2015: 104-109

  5. 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

  6. Huei-Yu Lung, Chih-Heng Chung, Bi-Ru Dai: Predicting Locations of Mobile Users Based on Behavior Semantic Mining. PAKDD Workshops 2014: 168-180

  7. 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

  8. Po-Wei Liang, Bi-Ru Dai: Opinion Mining on Social Media Data. MDM (2) 2013: 91-96

  9. Bi-Ru Dai, I-Chang Lin: Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition. IEEE CLOUD 2012: 59-66

  10. Bi-Ru Dai, Chih-Heng Chung: LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity. Discovery Science 2012: 154-168

  11. 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

  12. Bi-Ru Dai, Meng-Yan Lin: Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations. ICDM Workshops 2011: 861-868

  13. Bi-Ru Dai, Shu-Ming Hsu: An Instance Selection Algorithm Based on Reverse Nearest Neighbor. PAKDD (1) 2011: 1-12

  14. 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

  15. Bi-Ru Dai, Yang-Tze Lin: A Decision Tree Based Quasi-Identifier Perturbation Technique for Preserving Privacy in Data Mining. RCIS 2009: 187-196

  16. Ya-Ping Kuo, Pai-Yu Lin, Bi-Ru Dai: Hiding Frequent Patterns under Multiple Sensitive Thresholds. DEXA 2008: 5-18

  17. Chih-Hua Tai, Bi-Ru Dai, Ming-Syan Chen: Incremental Clustering in Geography and Optimization Spaces. PAKDD 2007: 272-283

  18. Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen: COMET: Event-Driven Clustering over Multiple Evolving Streams. PAKDD 2006: 719-723

  19. Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen: Clustering on Demand for Multiple Data Streams. ICDM 2004: 367-370

  20. Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen: On the Techniques for Data Clustering with Numerical Constraints. SDM 2003: 264-268

國內會議論文

  1. 張旭沅、李綱、戴碧如、鍾至 衡、龍徽猷（2011年11月）。結合車載資通訊與雲端運算技術開發協同式路面狀態監控系統之研 究。 The 16th National Conference on Vehicle Engineering (中華民國第十六 屆車輛工程學術研討會)，Taipei, Taiwan。