Автор: Philip S. Yu

Підтримка
Chuan Shi is the professor in School of Computer Sciences of Beijing University of Posts and Telecommunications, deputy director of Beijing Key Lab of Intelligent Telecommunication Software and Multimedia. The main research interests include data mining, machine learning, artificial intelligence and big data analysis. He has published more than 100 refereed papers, including top journals and conferences in data mining, such as IEEE TKDE, ACM TIST, KDD, AAAI, IJCAI, and WWW. And in the meanwhile, his first monograph about heterogeneous information networks has been published by Springer. He has been honored as the best paper award in ADMA 2011 and ADMA 2018, and has guided students to the world champion in the IJCAI Contest 2015, the premier international data mining competition. He is also the recipient of “the Youth Talent Plan” and “the Pioneer of Teacher”s Ethics” in Beijing. Xiao Wang is the assistant professor in School of Computer Sciences of Beijing University of Posts and Telecommunications. He was a postdoc in the Department of Computer Science and Technology at Tsinghua University. He got his Ph.D. in the School of Computer Science and Technology at Tianjin University and a joint-training Ph.D. at Washington University in St. Louis. The main research interests include data mining, machine learning, artificial intelligence and big data analysis. He has published more than 50 refereed papers, including top journals and conferences in data mining, such as IEEE TKDE, KDD, AAAI, IJCAI, and WWW. He also serves as SPC/PC member and Reviewer of several high-level international conferences, e.g., KDD, AAAI, IJCAI, and journals, e.g., IEEE TKDE. Philip S. Yu”s main research interests include big data, data mining (especially on graph/network mining), social network, privacy preserving data publishing, data stream, database systems, and Internet applications and technologies. He is a Distinguished Professor in the Departmentof Computer Science at UIC and also holds the Wexler Chair in Information and Technology. Before joining UIC, he was with IBM Thomas J. Watson Research Center, where he was manager of the Software Tools and Techniques department. Dr. Yu has published more than 1, 300 papers in refereed journals and conferences with more than 133, 000 citations and an H-index of 169. He holds or has applied for more than 300 US patents. Dr. Yu is a Fellow of the ACM and the IEEE. He is the recepient of ACM SIGKDD 2016 Innovation Award and the IEEE Computer Society”s 2013 Technical Achievement Award.




22 Електронні книги від Philip S. Yu

Charu C. Aggarwal & Philip S. Yu: Privacy-Preserving Data Mining
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intru …
PDF
Англійська
€213.99
Longbing Cao & Philip S. Yu: Data Mining for Business Applications
Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributio …
PDF
Англійська
€96.29
Jeffrey J. P. Tsai & Philip S. Yu: Machine Learning in Cyber Trust
Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber …
PDF
Англійська
€160.49
Longbing Cao & Philip S. Yu: Behavior Computing
‘Behavior’ is an increasingly important concept in the scientific, societal, economic, cultural, political, military, living and virtual worlds. Behavior computing, or behavior informatics, consists …
PDF
Англійська
€96.29
Chuan Shi & Philip S. Yu: Heterogeneous Information Network Analysis and Applications
This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments o …
PDF
Англійська
€139.09
Tianqing Zhu & Gang Li: Differential Privacy and Applications
This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most recent research on differential privacy with a th …
PDF
Англійська
€149.79
Longbing Cao & Ana L.C. Bazzan: Agents and Data Mining Interaction
This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Agents and Data Mining Interaction, ADMI 2011, held in Taipei, Taiwan, in May 2011 in conj …
PDF
Англійська
DRM
€63.06
Bo Long & Philip S. Yu: Relational Data Clustering
A culmination of the authors” years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational da …
PDF
DRM
€77.13
Jing He & Wei Huang: Data Science
This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney, Australia, during August 8-9, 2015.The 19 revised full papers and 5 s …
PDF
Англійська
DRM
€50.72
Ming-Syan Cheng & Bing Liu: Advances in Knowledge Discovery and Data Mining
Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statisti …
PDF
Англійська
DRM
€114.61
Longbing Cao & A.E. Gorodetsky: Agents and Data Mining Interaction
The2009International Workshopon Agentsand Data Mining Interaction(ADMI 2009) was a joint event with AAMAS2009. In recentyears, agents and data mining interaction (ADMI), or agent mining forshort, has …
PDF
Англійська
DRM
€57.90
Longbing Cao & Vladimir Gorodetsky: Agents and Data Mining Interaction
This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on Agents and Data Mining Interaction, ADMI 2012, held in Valencia, Spain, in June 2012. The …
PDF
Англійська
DRM
€51.36
Longbing Cao & Vladimir Gorodetsky: Agents and Data Mining Interaction
This book constitutes the thoroughly refereed and revised selected papers from the 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013, held in Saint Paul, MN, USA in May 2013 …
PDF
Англійська
DRM
€44.61
Longbing Cao & Yifeng Zeng: Agents and Data Mining Interaction
This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as …
PDF
Англійська
€41.64
Philip S. Yu & Jiawei Zhang: Broad Learning Through Fusions
This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large …
EPUB
Англійська
DRM
€57.64
Jiawei Han & Hillol Kargupta: Next Generation of Data Mining
Drawn from the US National Science Foundation”s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging tec …
PDF
DRM
€89.37
Ada Wai-Chee Fu & Benjamin C.M. Fung: Introduction to Privacy-Preserving Data Publishing
Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to th …
PDF
DRM
€88.25
Jie Cao & Jing He: Data Science
This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefu …
EPUB
Англійська
DRM
€57.89
Chuan Shi & Xiao Wang: Heterogeneous Graph Representation Learning and Applications
Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, perso …
PDF
Англійська
€160.49