2023 - Research.com Best Scientist Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Best Scientist Award
2022 - Research.com Computer Science in United States Leader Award
1997 - ACM Fellow For contributions to the theory and practice of analytical performance modeling of database sytems.
1993 - IEEE Fellow For contributions to the theory and practice of analytical performance modeling of database systems.
His studies link Argument (complex analysis) with Biochemistry. His study in Biochemistry extends to Argument (complex analysis) with its themes. His Artificial intelligence study often links to related topics such as Federated learning. Machine learning and Reinforcement learning are two areas of study in which Philip S. Yu engages in interdisciplinary work. In his study, he carries out multidisciplinary Reinforcement learning and Machine learning research. He carries out multidisciplinary research, doing studies in Data science and Artificial intelligence. He undertakes interdisciplinary study in the fields of Gene and Robustness (evolution) through his works. He integrates Robustness (evolution) and Gene in his studies. Philip S. Yu integrates Computer security with Exploit in his research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Top 10 algorithms in data mining
Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh.
Knowledge and Information Systems (2007)
Data mining: an overview from a database perspective
Ming-Syan Chen;Jiawei Han;P.S. Yu.
IEEE Transactions on Knowledge and Data Engineering (1996)
An effective hash-based algorithm for mining association rules
Jong Soo Park;Ming-Syan Chen;Philip S. Yu.
international conference on management of data (1995)
A framework for clustering evolving data streams
Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu.
very large data bases (2003)
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu;Shirui Pan;Fengwen Chen;Guodong Long.
IEEE Transactions on Neural Networks (2021)
Privacy-preserving data publishing: A survey of recent developments
Benjamin C. M. Fung;Ke Wang;Rui Chen;Philip S. Yu.
ACM Computing Surveys (2010)
Mining concept-drifting data streams using ensemble classifiers
Haixun Wang;Wei Fan;Philip S. Yu;Jiawei Han.
knowledge discovery and data mining (2003)
A holistic lexicon-based approach to opinion mining
Xiaowen Ding;Bing Liu;Philip S. Yu.
web search and data mining (2008)
Outlier detection for high dimensional data
Charu C. Aggarwal;Philip S. Yu.
international conference on management of data (2001)
PathSim: meta path-based top-K similarity search in heterogeneous information networks
Yizhou Sun;Jiawei Han;Xifeng Yan;Philip S. Yu.
very large data bases (2011)
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