KID Lab

1. S.-C. Li, and J.-W. Huang, "Let the Information Fly: Reconstructing Social Network After a Node Deleted," IEEE Trans. on Knowledge and Data Engineering, accepted, 2023. (SCI IF=) link

2. J.-W. Huang, P.-J. Lee and B. P. Jaysawal, "Multi-Scale Control Chart Pattern Recognition using Histogram-Based Representation of Value and Zero-Crossing Rate," IEEE Transactions on Industrial Electronics , Vol. 69, Issue 1, 684-693, 2022(January). (SCI IF=7.515) link

3. P.-Y. Wong, H.-J. Su, H.-Y. Lee, Y.-C. Chen, Y.-P. Hsiao, J.-W. Huang, T.-A. Teo, C.-D. Wu and John D. Spengler, "Using land-use machine learning models to estimate daily NO2 concentration variations in Taiwan," Journal of Cleaner Production, Vol. 317, 128411, 2021(July). (SCI IF=) link

4. J.-W. Huang, B. P. Jaysawal and C.-C. Wang, "Mining Full, Inner and Tail Periodic Patterns with Perfect, Imperfect and Asynchronous Periodicity Simultaneously," Data Mining and Knowledge Discovery , 35(4), 1225-1257, 2021(June). (SCI IF=2.629) link

5. P.-Y. Wong, C.-Y. Hsu, J.-Y. Wu, T.-A. Teo, J.-W. Huang, H.-R. Guo, H.-J. Su, C.-D. Wu and John D. Spengler, "Incorporating Land-Use Regression into Machine Learning Algorithms in Estimating the Spatial-Temporal Variation of Carbon Monoxide in Taiwan," Environmental Modelling and Software , Vol. 139, 104996, 2021(May). (SCI IF=4.807) link

6. H.-S. Ma, S.-C. Li, Z.-J. Jian, Y.-H. Kuo, J.-W. Huang, "Local Community Detection by Local Structure Expansion and Exploring the Local Communities for Target Nodes in Complex Networks," Journal of Information Science and Engineering, Vol. 37 No. 3, pp. 499-511, 2021(May). (SCI IF=0.541) link

7. J.-W. Huang, M.-X. Zhong and B. P. Jaysawal, "TADILOF: Time Aware Density-based Incremental Local Outlier Detection in Data Streams," Sensors, Vol. 20, No. 20:5829, 2020. (SCI IF=3.275) link

8. Y.-H. Ke, J.-W. Huang, W.-C. Lin and B. P. Jaysawal, "Finding Possible Promoter Binding Sites in DNA Sequences by Sequential Patterns Mining with Specific Numbers of Gaps," IEEE/ACM Transactions on Computational Biology and Bioinformatics , Vol. 18, No. 6, pp. 2459-2470, 2021(January). (SCI IF=2.896) link

9. C.-L. Liu, S.-W. Fu , Y.-J. Li, J.-W. Huang , H.-M. Wang, and Y. Tsao, "Multichannel Speech Enhancement by Raw Waveform-Mapping Using Fully Convolutional Networks," IEEE/ACM Transactions on Audio, Speech, and Language Processing , Vol. 28, pp 1888-1900, 2020(June). (SCI IF=3.531)

10. J.-W. Huang, Y.-B. Wu and B. P. Jaysawal , "On Mining Progressive Positive and Negative Sequential Patterns Simultaneously," Journal of Information Science and Engineering, Vol. 36 No. 1, pp. 145-169, 2020. (SCI IF=0.327)

11. J.-W. Huang, B. P. Jaysawal, K.-Y. Chen, and Y.-B. Wu, "Mining Frequent and Top-K High Utility Time Interval-based Events with Duration Patterns," Knowledge and Information Systems, Vol. 61, pp. 1331–1359, 2019(December). (SCI IF=2.247) http://link.springer.com/article/10.1007/s10115-019-01333-6 link

12. J.-W. Huang, H.-S. Ma, C.-C. Chung, and Z.-J. Jian, "Unknown but Interesting Recommendation Using Social Penetration," Soft Computing, Vol. 23, Issue 16, pp 7249–7262, 2019(August). (SCI IF=2.367) https://doi.org/10.1007/s00500-018-3371-y link

13. W.-Y. Tseng, K.-H. Chen, and J.-W. Huang, "Crowdsourced Object-labeling Based on a Game-based Mobile Application," Multimedia Tools and Applications, Vol. 78, Issue 13, pp 18137–18168, 2019(July). (SCI IF=1.541) http://link.springer.com/article/10.1007/s11042-018-6944-y link

14. B. P. Jaysawal, J.-W. Huang, "DMHUPS: Discovering Multiple High Utility Patterns Simultaneously," Knowledge and Information Systems, Vol. 59, Issue 2, pp 337–359, 2019(May). (SCI Impact factor: 2.247) link

15. B. P. Jaysawal, and J.-W. Huang, "PSP-AMS: Progressive mining of Sequential Patterns Across Multiple Streams," ACM Transactions on Knowledge Discovery from Data, Vol. 13 Issue 1, Article No. 5, 2019(January). (SCI IF=1.489)

16. J.-W. Huang, C.-W. Chiang and J.-W. Chang, "Email Security Level Classification of Imbalanced Data Using Artificial Neural Network: The Real Case in a World-leading Enterprise," Engineering Applications of Artificial Intelligence, Vol. 75, pp. 11-21, 2018. (SCI IF=2.819) link

17. P.-W. Soh, J.-W. Chang, and J.-W. Huang, "Adaptive Deep Learning-based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations," IEEE Access, Vol. 6, No. 1, pp. 38186-38199, 2018(December). (SCI IF=3.244) link

18. S.-H. Fang, H.-H. Liao, Y.-X. Fei, K.-H. Chen, J.-W. Huang, Y.-D. Lu and Y. Tsao, "Transportation Modes Classification Using Sensors on Smartphones," Sensors, Vol. 16, No. 8, pp. 1324, 2016. (SCI Impact factor: 2.677)

19. J.-W. Huang, K.-Y. Chen, Y.-C. Chen, K.-N. Yang, I.-S. Hwang, and W.-C. Huang, "A Novel Spatial Tag Cloud Using Multi-Level Clustering," Journal of Information Science and Engineering, Vol. 30, No. 3, pp. 687-700, 2014(May). (SCI Impact factor: 0.468)

20. Y.-H. Chu, J.-W. Huang, K.-T. Chuang, D.-N. Yang, and M.-S. Chen, "Density Conscious Subspace Clustering for High-Dimensional Data," IEEE Trans. on Knowledge and Data Engineering, Vol. 22, No. 1, pp. 16-30, 2010(January). (SCI Impact factor:3.438)

21. J.-W. Huang, C.-Y. Tseng, J.-C. Ou, and M.-S. Chen, "A General Model for Sequential Pattern Mining with a Progressive Database," IEEE Trans. on Knowledge and Data Engineering, Vol. 20, No. 9, pp. 1153-1167, 2008(September). (SCI Impact factor:3.438)

22. Y.-H. Wen, J.-W. Huang, and M.-S. Chen, "Hardware-Enhanced Association Rule Mining with Hashing and Pipeling," IEEE Trans. on Knowledge and Data Engineering, Vol. 20, No. 6, pp. 784-795, 2008(June). (SCI Impact factor:3.438)

23. J.-W. Huang, B.-R. Dai, and M.-S. Chen, "Twain: Two-End Association Miner with Precise Frequent Exhibition Periods," ACM Trans. on Knowledge Discovery from Data, Vol. 1, No. 2, 2007(August). (SCI Impact factor:1.895)

24. B.-R. Dai, J.-W. Huang, M.-Y. Yeh, and M.-S. Chen, "Adaptive Clustering for Multiple Evolving Streams," IEEE Trans. on Knowledge and Data Engineering, Vol. 18, No. 9, pp. 1166-1180, 2006(September). (SCI Impact factor:3.438)

1. W.-J. Wu, S.-C. Li and J.-W. Huang, "ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation," The 2023 IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA'23), pp. , Oct. 9-13, 2023.(Acceptance rate=25%)

2. P.-C. Chen, H.-S. Ma and J.-W. Huang, "Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation," The 2023 IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA'23), pp. , Oct. 9-13, 2023.(Acceptance rate=25%)

3. Y.-N. Wan, Bijay P. Jaysawal and J.-W. Huang, "Unsupervised Concept Drift Detection using Dynamic Crucial Feature Distribution Test in Data Streams," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI'22), pp. , Dec. 1-3, 2022.Best Paper Award (Runner-up)

4. P.-Y. Yeh, S.-C. Li, H.-S. Ma and J.-W. Huang, "Greedy-Based Precise Expansion Algorithm for Customized Group Team Formation Problem," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI'22), pp. , Dec. 1-3, 2022.

5. L.-C. Wang, H.-S. Ma and J.-W. Huang, "Attention Mechanism Indicating Item Novelty for Sequential Recommendation," The 2022 IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM'22) , pp. , Nov. 10-13, 2022. (Short paper acceptance rate=24.48%)

6. C.-L. Chang, S.-C. Li and J.-W. Huang, "Ensemble2Net: Learning from Ensemble Teacher Networks via Knowledge Transfer," 2021 IEEE Symposium Series on Computational Intelligence (SSCI'21) , pp. , Dec. 04-07, 2021.

7. J.-W. Wang, K.-H. Chen and J.-W. Huang, "HAEE: Question Classification Using Hierarchical Intra-Attention Enhancement Encoder," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI'21), pp. , Nov. 18-20, 2021.

8. T.-W. Chuang, Z.-Y. Zheng, T.-H. Chien, K.-H. Chen, Y.-C. Yen and J.-W. Huang, "EFUNet: Enhanced Feature-based Image Colorization with Generative Adversarial Networks," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI'21), pp. , Nov. 18-20, 2021.

9. F.-Y. Liu, S.-C. Li and J.-W. Huang, "Forming a Team of Cost-effective and Well-collaborated Experts in Social Networks Based on Hierarchical Skill Model," The 2021 IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM 2021), pp.134-137, Nov. 08-11, 2021.

10. H.-S. Ma, and J.-W. Huang, "User Preference Translation Model for Next Top-k Items Recommendation with Social Relations," The 26th International Conference on Database Systems for Advanced Applications (DASFAA'21), pp. , Apr. 11-14, 2021. (PhD Consortium)

11. H.-S. Ma, and J.-W. Huang, "User Preference Translation Model for Recommendation System with Item Influence Diffusion Embedding," The 2020 IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM'20), pp. , Dec. 7-10, 2020.(Acceptance rate=21%)

12. C.-E. Sung, H.-S. Ma, and J.-W. Huang, "Positive Influence Maximization and Negative Influence Minimization in Signed Networks under Competitive Independent Cascade Model," The 2020 IEEE/ACM International Conference on Data Science and Advanced Analytics(DSAA'20), pp. , Oct. 6-9, 2020. (Acceptance rate=%)

13. Bijay P. Jaysawal, and J.-W. Huang, "SOHUPDS: A Single-pass One-phase Algorithm for Mining High Utility Patterns over a Data Stream," The 35th ACM/SIGAPP Symposium On Applied Computing (ACM SAC'20), pp.490-497, Mar. 30-Apr. 3, 2020. (Acceptance rate=24.48%)

14. Z.-J. Jian, H.-S. Ma, and J.-W. Huang, "CLOSE: Local Community Detection by LOcal Structure Expansion in a Complex Network," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI'19), pp. , Nov. 21-23, 2019. (Excellent Paper Award)

15. Y.-P. Hsiao, C.-D. Wu, J.-W. Huang, T.-A. Teo, and S.-Y. Lin, "A neural network-based land use regression model to estimate spatial-temporal variability of SO2," 40th Asian Conference on Remote Sensing Technology for Smart Future (ACRS'19), pp. , Oct. 14-18, 2019.

16. I.-C. Lin, J.-W. Huang and K.-H. Chen, "Improving the Vocabulary Learning by Personalized Proficiency," The 2019 International Conference on Ubi-Media Computing (Ubi-Media 2019), pp. , Aug. 6-9, 2019.

17. S.-H. Tai, H.-S. Ma, C.-K. Chou and J.-W. Huang, "Social Influence Prediction by a Community-based Convolutional Neural Network," The 33rd Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2019), pp. , Jun. 4-7, 2019.

18. C.-L. Lee, C.-E. Sung, H.-S. Ma, and J.-W. Huang, "IDR: Positive Influence Maximization and Negative Influence Minimization under Competitive Linear Threshold Model," International Workshop on Mobile Data Management, Mining, and Computing on Social Networks (MobiSocial 2019) in conjunction with the 20th IEEE Conference on Mobile Data Management (MDM 2019), pp. 501-506, Jun. 10-13, 2019.

19. H.-Y. Wang, J.-W. Chang, and J.-W. Huang, "User Intention-based Document Summarization on Heterogeneous Sentence Networks," 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), pp. 572-587, Apr. 22-25, 2019.

20. Edo Zezario, J.-W. Huang, Xugang Lu, Yu Tsao, H.-T. Hwang, H.-M. Wang, "Deep Denoising Autoencoder-based Post Filtering for Speech Enhancement," Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2018), pp. , Nov. 12-15, 2018.

21. T.-H. Yang, H.-S. Ma and J.-W. Huang, "DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence Maximization," The 2018 IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA'18), pp. 273-282 , Oct. 1-4, 2018.(Acceptance rate:%)

22. W.-C. Hsin, and J.-W. Huang, "Multi-dependent Latent Dirichlet Allocation," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI'17), pp. 154-159, Dec. 1-3, 2017.

23. C.-W. Yang, Bijay P. Jaysawal, and J.-W. Huang, "Subsequence Search Considering Duration and Relations of Events in Time Interval-based Events Sequences," The 2017 International Conference on Data Science and Advanced Analytics (DSAA'17), pp. 293-302, Oct. 19-21, 2017. (Acceptance rate:25.0%)

24. P.-W. Soh, K.-H. Chen, J.-W. Huang and H.-J. Chu, "Spatial-temporal Pattern Analysis and Prediction of Air Quality in Taiwan," The 2017 International Conference on Ubi-Media Computing (Ubi-Media 2017), pp. , Aug. 1-4, 2017.

25. W.-Y. Tseng, K.-H. Chen, and J.-W. Huang, "An Effective Object Recognition System by a Mobile Application," The 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications (MIOT 2017), in conjunction with The 10th International Conference on Ubi-media Computing, pp. , Aug. 1-4, 2017.

26. T.-J. Wu, S.-H. Fang, Y.-B. Wu, C.-T. Wu, J.-W. Huang, and Y. Tsao, "A Study of Mobile Advertisement Recommendation Using Real Big Data From AdLocus," The 5th IEEE Global Conference on Consumer Electronics (GCCE 2016), Oct, 2016

27. Y.-B. Wu, J.-W. Huang and Bijay P. Jaysawal, "Mining Positive and Negative Sequential Patterns in a Progressive Database," The 2016 International Conference on Ubi-Media Computing (Ubi-Media 2016), pp. , Aug. 15-17, 2016.

28. Y.-X. Fei, J.-Y. Chen, S.-H. Fang, Y. Tsao, J.-W. Huang and Bo-Wei Liang, "Advertisement-Click Prediction Based on Mobile Big Data from HyXen AdLocus," International Conference on Advanced Technology Innovation, Vol. 4, pp. 28-30, Jun., 2016.

29. S.-Y. Ku, K.-H. Chen, J.-W. Huang and Y. Tsao, "Image Retrieval Using Color-Aware Tag on Progressive Image Search and Recommendation System," The 22nd International Conference on MultiMedia Modeling (MMM'16), pp. 162-173, Jan. 04-06, 2016.

30. C.-C. Chang, C.-L. Chen, C.-W. Lin, J.-W. Huang and C.-S. Yang, "The Analysis of User Behavior and Relationship on Bulletin Board System," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015), pp. 381-387, Nov. 20-22, 2015

31. C.-C. Chen, T.-Y. Chen, J.-W. Huang and M.-S. Chen, "Reducing Communication and Merging Overheads for Distributed Clustering Algorithms on the Cloud," International Conference on Cloud Computing and Big Data (CCBD'15), pp., Nov. 04-06, 2015. (Best paper nominated)

32. Y.-C. Chen, H.-S. Ma and J.-W. Huang, "Multi-state Open Opinion Model based on Positive and Negative Social Influences," The 2015 IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM 2015), pp. 170-177, Aug. 25-28, 2015. (Full paper acceptance rate:18.0%)

33. S.-C. Li, Y.-H. Ke, F.-Y. Liu and J.-W. Huang, "Reconstructing Dynamic Social Network by Choosing Local Maximum Degree Substitute," The 2015 IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM 2015), pp. 1604-1605, Aug. 25-28, 2015.

34. W.-C. Hsin, J.-Y. Shen, S.-C. Li, Y.-H. Ke, J.-W. Huang, “An Introduction to Framework of Security Event Capturing and Tracking”, The 2015 International Conference on Ubi-Media Computing (UMedia’15), pp. 339-343, Aug. 24-26, 2015.

35. K.-Y. Chen, B. P. Jaysawal, J.-W. Huang, Y.-B. Wu, "Mining Frequent Time Interval-based Event with Duration Patterns from Temporal Database," The 2014 IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA'14), pp. 548-554, Oct. 30 - Nov. 01, 2014. (Acceptance rate:18.0%)

36. W.-Y. Tseng, K.-H. Chen, D. Gankhuu, J.-W. Huang, "On Predicting Dependent Earthquakes Using Spatial and Temporal Relations," Proc. of the 4th International Conference on Engineering and Applied Science (ICEAS'14), July 22-24, 2014.

37. K.-H. Chen, C.-R. Wu, Y.-L. Yang, J.-W. Huang, T.-Y. Ho, "Efficient Building Identification Using Structural and Spatial Information on Mobile Devices," The 1st International Workshop on Mobile Multimedia Computing (MMC'14), joint with IEEE International Conference on Multimedia & Expo., pp. 1-5, July 14-18, 2014.

38. Bijay P. Jaysawal, J.-W. Huang, "Mining Frequent Progressive Usage Patterns across Multiple Mobile Broadcasting Channels," The 2nd International Workshop on Mobile Data Management, Mining, and Computing on Social Networks, joint with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'14), pp. 149-155, May. 13-16, 2014.

39. H.-S. Ma, J.-W. Huang, "CUT: Community Update and Tracking in Dynamic Social Networks," The 7th Workshop on Social Network Mining and Analysis (SNA-KDD'13) joint with the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'13), pp. 6:1--6:8, Aug. 11-14, 2013.

40. Vincent S. Tseng, H.-Y. Kao, K.-T. Chuang, J.-W. Huang, Y.-F. Lin, B.-H. Lin, C. Fang, Y.-T. Tang, B.-H. Chen, S.-H. Huang and H.-S. Ma, "A Novel Framework for Integrated Database and Data Analytics Services on Health Insurance Data," Proc. of Conference on Medical Innovation and Computing Service (MICS'13), Aug. 3-4, 2013.

41. C.-H. Tai, J.-W. Huang, M.-H. Chung, "Privacy Preserving Frequent Pattern Mining on Multi-Cloud Environment," Proc. of International Symposium on Biometrics and Security Technologies (ISBAST'13), pp. 235-240, Jul. 2-5, 2013.

42. K.-N. Yang, W.-J. Hunag, J.-W. Huang, I.-S. Hwang, "Multi-level Interactive Tag Cloud Using Clustering Scheme," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012), pp. 232-237, Nov. 16-18, 2012.

43. W.-H. Du, J.-W. Rau, J.-W. Huang, Y.-S. Chen, "Improving the Quality of Tags Using State Transition on Progressive Image Search and Recommendation System," Proc. of IEEE International Conference on Systems, Man, and Cybernetics (SMC'12), pp. 3233-3238, Oct. 14-17, 2012.

44. J.-L. Duan, Shashi Prasad, J.-W. Huang, "Discovering Unknown But Interesting Items on Personal Social Network," Proc. of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'12), pp. 145-156, May 29-Jun. 1, 2012.

45. J.-W. Huang, J.-W. Su and M.-S. Chen, "FISIP: A Distance and Correlation Preserving Transformation for Privacy Preserving Data Mining," Proc. of Conference on Technologies and Applications of Artificial Intelligence (TAAI 2011), pp. 101-106, Nov. 11-13, 2011. (Best Paper Award)

46. J.-W. Huang, C.-Y. Tseng, M.-C. Chen, and M.-S. Chen, "PISAR: Progressive Image Search and Recommendation System by Auto-interpretation and User Behavior," Proc. of IEEE International Conference on Systems, Man, and Cybernetics (SMC'11), pp. 1442-1447, Oct. 9-12, 2011.

47. Y.-H. Hong, J.-W. Huang, and M.-S. Chen, "GroupBuyer: A Personalized Group Buying Event Recommender System Using Social Information Filtering," 2011 International Workshop on Behavior Informatics (BI 2011) joint with the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'11), May 24, 2011.

48. J.-W. Huang, S.-C. Lin and M.-S. Chen, "DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud," Proc. of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'10), pp. 27-34, Jun. 21-24, 2010.

49. B. Alexe, M. Gubanov, M. A. Hernandez, H. Ho, J.-W. Huang, Y. Katsis, L. Popa, B. Saha, and I. Stanoi, "Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration," Proc. of the 2nd International Workshop on Business Intelligence for the Real Time Enterprise (BIRTE 2008) in conjunction with the VLDB 2008 , Aug. 24, 2008

50. C.-Y. Tseng, J.-W. Huang, and M.-S. Chen, "ProMail: Using Progressive Email Social Network for Spam Detection," Proc. of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'07), pp. 833-840, May 22-25, 2007

51. J.-W. Huang, C.-Y. Tseng, J.-C. Ou, and M.-S. Chen, "On Progressive Sequential Pattern Mining," Proc. of the ACM 15th International Conference on Information and Knowledge Management (CIKM'06), pp. 850-851, Nov. 6-11, 2006

52. Y.-H. Chu, J.-W. Huang, K.-T. Chuang, and M.-S. Chen, "On Subspace Clustering with Density Consciousness," Proc. of the ACM 15th International Conference on Information and Knowledge Management (CIKM'06), pp. 804-805, Nov. 6-11, 2006

53. H.-P. Hung, J.-W. Huang, J.-L. Huang and M.-S. Chen, "Scheduling Dependent Items in Data Broadcasting Environment," Proc. of ACM Symposium on Applied Computing (SAC'06), Bourgogne University, Dijon, France, pp. 1177-1181, Apr. 23-27, 2006.

54. B.-R. Dai, J.-W. Huang, M.-Y. Yeh, and M.-S. Chen, "Clustering on Demand for Multiple Data Streams," Proc. of the Fourth IEEE International Conference on Data Mining (ICDM'04), pp. 367-370, Brighton, UK, Nov. 1-4, 2004.