"Newsl., 19(2):1–12, November 2017. [105] Jonathan S. Yedidia, William T.
Freeman, and Yair Weiss. Understanding ... In SDM, pages 1119–1130, 2012. [
108] Reza Zadeh, Aruna D. Balakrishnan, Sara B. Kiesler, and Jonathon N.
Cummings."
Data Mining(4th Edition) Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) by Jiawei Han, Jian Pei, HanghangTong, Han Et Al Paperback, 752 Pages, Published 2022 by Elsevier Science & Technology, San Francisco ISBN-13: 978-0-12-811760-6, ISBN: 0-12-811760-5
"Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining."
Network Connectivity Concepts, Computation, and Optimization by Chen Chen, HanghangTong 165 Pages, Published 2022 by Morgan & Claypool Publishers ISBN-13: 978-1-63639-296-7, ISBN: 1-63639-296-2
"This book presents a thorough study in network connectivity, including its concepts, computation, and optimization."
Computational Data and Social Networks 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18–20, 2019, Proceedings (Lecture Notes in Computer Science, 11917) by Tagarelli, Andrea, Tong, Hanghang Trade Paperback, 388 Pages, Published 2019 by Springer ISBN-13: 978-3-030-34979-0, ISBN: 3-030-34979-9
Mobile Data Mining(1st Edition) (SpringerBriefs in Computer Science) by Yuan Yao, Xing Su, HanghangTong Paperback, 68 Pages, Published 2018 by Springer ISBN-13: 978-3-030-02100-9, ISBN: 3-030-02100-9
Network Connectivity(1st Edition) Concepts, Computation, and Optimization (Synthesis Lectures on Learning, Networks, and Algorithms) by Chen, Chen, Tong, Hanghang Paperback, 168 Pages, Published 2022 by Springer ISBN-13: 978-3-031-03756-6, ISBN: 3-031-03756-1
"This SpringerBrief presents a typical life-cycle of mobile data mining applications, including: data capturing and processing which determines what data to collect, how to collect these data, and how to reduce the noise in the data based on ..."