Trend Prediction and Distributed Pattern Matching for M2M Data

2015

Hsieh, Hsun-Ping, Lin, Shou-De, and Zheng, Yu, Inferring Air Quality for Station Location Recommendation Based on Urban Big Data, in Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, 2015, pp. 437–446.

2014

Chung-Yi Li and Shou-De Lin, Matching Users and Items Across Domains to Improve the Recommendation Quality, in 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.
Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, and Gibbons, P.B., Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems, in In Proceedings of the 13th IEEE International Conference on Data Mining (ICDM), 2014.
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin, Measuring and Recommending Time-Sensitive Routes from Location-based Data, ACM Transactions on Intelligent Systems and Technology (TIST), 2014.
Jing-Kai Lou, Fu-Min Wang, Chin-Hua Tsai, San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Kuan-Ta Chen, and Chin-Laung Lei, A Social Diffusion Model with an Application on Election Simulation, The Scientific World Journal, 2014.

2013

Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, and Shou-De Lin, Unsupervised Link Prediction Using Aggregative Statistics on Heterogeneous Social Networks, in KDD 2013, 2013.
Ian E.H. Yen, Chun-Fu Chang, Ting-Wei Lin, Shan-Wei Lin, and Shou-De Lin, Indexed Block Coordinate Descent for Large-Scale Linear Classification with Limited Memory, in KDD 2013, 2013.
J.-W. Chou, M.-H. Chu, Y.-L. Tsai, Y. Jin, C.-M. Cheng, and S.-D. Lin, An unsupervised learning model to perform side channel attack, in 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), 2013.

2012

Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, and Wei-Fen Lin, Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks, in Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Jeju Island, Korea, 2012, pp. 344-348.
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin, TripRec : Recommending Trip Routes from Large Scale Check-in Data, in Proceedings of the 21st International Conference on World Wide Web, New York, NY, USA, 2012, pp. 529-530.
Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan, Influence Propagation and Maximization for Heterogeneous Social Networks, in Proceedings of the 21st International Conference on World Wide Web, Lyon, France, 2012, pp. 559-560.
Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin, Regional Subgraph Discovery in Social Networks, in Proceedings of the 21st International Conference on World Wide Web, Lyon, France, 2012, pp. 563-564.
Yi-Chen Lo, Cheng-Te Li, and Shou-De Lin, Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory, in 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing, Amsterdam, Netherlands, 2012, pp. 229-238.
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin, Exploiting Large-Scale Check-in Data to Recommend Time-Sensitive Routes, in Proceedings of the ACM SIGKDD International Workshop on Urban Computing, Beijing, China, 2012, pp. 55-62.
Exploiting and Evaluating MapReduce for Large-Scale Graph Mining, in 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Istanbul, Turkey, 2012, pp. 434-441.

2011

Cheng-Te Li and Shou-De Lin, Social Flocks: A Crowd Simulation Framework for Social Network Generation, Community Detection, and Collective Behavior Modeling, in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, California, USA, 2011, pp. 765-768.