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Issue DateTitleAuthor(s)SourcescopusWOSFulltext/Archive link
12015A learning-based framework to handle multi-round multi-party influence maximization on social networksLin, S.-C.; Lin, S.-D.; Chen, M.-S.; MING-SYAN CHEN ; SHOU-DE LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
22002A robust and efficient clustering algorithm based on cohesion self-mergingLin, C.-R.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
32008A sequential dual method for large scale multi-class linear svmsKeerthi, S.S.; Sundararajan, S.; Chang, K.-W.; Hsieh, C.-J.; Lin, C.-J.; CHIH-JEN LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
42015An effective marketing strategy for revenue maximization with a quantity constraintTeng, Y.-W.; Tai, C.-H.; Yu, P.S.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
52011An improved glmnet for L1-regularized logistic regressionYuan, G.-X.; Ho, C.-H.; Lin, C.-J.; CHIH-JEN LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
62008Asymmetric support vector machines: Low false-positive learning under the user toleranceWu, S.-H.; Lin, K.-P.; Chen, C.-M.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
72018Deep censored learning of the winning price in the real time biddingWu; W.; Yeh; M.-Y.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
82002Distributed data mining in a chain store database of short transactionsLin, C.-R.; Lee, C.-H.; Chen, M.-S.; Yu, P.S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
92012EvaPlanner: An evacuation planner with social-based flocking kineticsLi, C.-T.; Lin, S.-D.; SHOU-DE LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
102012Exploiting large-scale check-in data to recommend time-sensitive routesHsieh, H.-P.; Li, C.-T.; Lin, S.-D.; SHOU-DE LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
112010K-support anonymity based on pseudo taxonomy for outsourcing of frequent itemset miningTai, C.-H.; Yu, P.S.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
122005LIPED: HMM-based life profiles for adaptive event detectionChen, Chien-Chin; Chen, Meng-Chang; Chen, Ming-Syan; Chen, Chien-Chin ; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
132017On finding socially tenuous groups for online social networksShen; C.-Y.; Huang; L.-H.; Yang; D.-N.; Shuai; H.-H.; Lee; W.-C.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
142012On socio-spatial group query for location-based social networksYang, D.-N.; Shen, C.-Y.; Lee, W.-C.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
152015Predicting winning price in real time bidding with censored dataWu, W.C.-H.; Yeh, M.-Y.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
162010Privacy-preserving outsourcing support vector machines with random transformationLin, K.-P.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
172011Privacy-preserving social network publication against friendship attacksTai, C.-H.; Yu, P.S.; Yang, D.-N.; Chen, M.-S.; MING-SYAN CHEN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
182011Social flocks: A crowd simulation framework for social network generation, community detection, and collective behavior modelingLi, C.-T.; Lin, S.-D.; SHOU-DE LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
192015Warm Start for parameter selection of linear classifiersChu, B.-Y.; Ho, C.-H.; Tsai, C.-H.; Lin, C.-Y.; Lin, C.-J.; CHIH-JEN LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining