Knowledge Discovery and Social Network Mining
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Cheng-Te Li, Shou-De Lin, "Egocentric Information Abstraction for Heterogeneous Social Networks," asonam, pp.255-260, 2009 International Conference on Advances in Social Network Analysis and Mining, 2009
- H.-Y. Lo, K.-W. Chang, S.-T. Chen, T.-H. Chiang, C.-S. Ferng, C.-J. Hsieh, Y.-K. Ko, T.-T. Kuo, H.-C. Lai, K.-Y. Lin, C.-H. Wang, H.-F. Yu, C.-J. Lin, H.-T. Lin and S.-d. Lin. An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naïve Bayes. KDDCup '09, 2009. To appear in JMLR Proceedings. (Third Place of the Slow Track).
- Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Cho-Yi Hsiao, Anta Huang, Tsung-Ting Kuo, Wei-Chi Lai, Ming-Han Yang, Jung-Jung Yeh, Chun-Chao Yen, Shou-De Lin, "Learning to Improve Area-Under-FROC for Imbalanced Medical Data Classification Using an Ensemble Method" invited paper for ACM SIGKDD Explorations Vol10, Issue 2, 2008
- Shou-de Lin and Hans Chalupsky, "Discovering and Explaining Abnormal Nodes in Semantic Graphs", IEEE Transactions on Knowledge and Data Engineering Vol 20, No8, 2008.
- Shou-de Lin, "Modelling, Searching and Explaining Interesting Instances in Multi-Relational Network", Ph.D. dissertation, 2006.
- Shou-de Lin, "Interesting Instance Discovery in Multi-relational Data", in Proceedings of AAAI04 (Doctoral Consortium), San Jose.
- Shou-de Lin and Hans Chalupsky, "Issues of Verification for Unsupervised Discovery Systems", KDD04 Workshop on Link Discovery.
- Shou-de Lin and Hans Chalupsky, "Using Unsupervised Link Discovery Methods to Find Interesting Facts and Connections in a Bibliography Dataset", selected to be the 2nd place for the open task in ACM KDDCup 2003, in KDD Explorations V5 Issue 2.
- Shou-de Lin and Hans Chalupsky, "Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis", in Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03).