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Books by Xingquan Zhu
  | | Knowledge Discovery and Data Mining Challenges and Realities by Xingquan Zhu, Ian Davidson Hardcover, 274 Pages, Published 2007 by Igi Global ISBN-13: 978-1-59904-252-7, ISBN: 1-59904-252-5 "Knowledge Discovery and Data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. "Knowledge Discovery and Data Mining: Challenges and Realities" is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This premier reference source presents in-depth experiences and methodologies, providing theoreti ..." |
 | | Knowledge Discovery and Data Mining(1st Edition) Challenges and Realities: Challenges and Realities by Xingquan Zhu, Ian Davidson 290 Pages, Published 2007 by Gale Group ISBN-13: 978-1-59904-254-1, ISBN: 1-59904-254-1 "Simplex coordinates of am i,¬x (⋅) '?-L' and am i,x (⋅) '?-H' average variable BOEs Chapter XII Outlier Detection Strategy Using the Self-Organizing Map. From the details concerning the bank o88 in Figure 7a, it is now incorrectly classified (to the left of the vertical dashed line). Briefly, this is because of the reduced influence of the ROAA and LIQ variables. The results for the o201 bank are similar to those from its previous ..." |
 | | ICMLA 2012 Proceedings : 2012 11th International Conference on Machine Learning and Applications : 12-15 December 2012 : Boca Raton, Florida, USA by Dacheng Tao, M. Arif Wani, Taghi Khoshgoftaar, Xingquan Zhu, Naeem Seliya Published 2012 ISBN-13: 978-0-7695-4913-2, ISBN: 0-7695-4913-6 |
 | | Fraud Prevention in Online Digital Advertising(1st Edition) (SpringerBriefs in Computer Science) by Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne Paperback, 53 Pages, Published 2017 by Springer ISBN-13: 978-3-319-56792-1, ISBN: 3-319-56792-6 "The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensiv ..." |
 | | Fraud Prevention in Online Digital Advertising by Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne 54 Pages, Published 2017 by Springer ISBN-13: 978-3-319-56793-8, ISBN: 3-319-56793-4 "Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne. While malicious ... Carlson M (2015) When news sites go native: Redefining the advertising-editorial divide in response to native advertising. ... Crussell J, Stevens R, Chen H (2014) Madfraud: investigating ad fraud in android applications." |
 | | Computational Data and Social Networks 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11â13, 2023, Proceedings (Lecture Notes in Computer Science, 14479) [Paperback ] by Hà, Minh Hoàng / Zhu, Xingquan / Thai, My T. Softcover, Published 2024 by Springer Nature ISBN-13: 978-981-9706-68-6, ISBN: 981-9706-68-8 |