'Imbalanced data' presentation slideshows

imbalanced data

557 views • 51 slides

imbalanced data

1.53k views • 49 slides

Feature selection for text categorization on imbalanced data

Feature selection for text categorization on imbalanced data. Advisor : Dr. Hsu Presenter : Zih-Hui Lin Author :Zhaohui Zheng , Xiaoyun Wu, Rohini Srihari. Outline. Motivation Objective Introduction Feature selection framework Experimental setup Primary results and analysis

535 views • 42 slides

Feature selection for text categorization on imbalanced data

Feature selection for text categorization on imbalanced data. Advisor : Dr. Hsu Presenter : Zih-Hui Lin Author :Zhaohui Zheng , Xiaoyun Wu, Rohini Srihari. Outline. Motivation Objective Introduction Feature selection framework Experimental setup Primary results and analysis

438 views • 42 slides

Cost- sensitive boosting for classification of imbalanced data

Cost- sensitive boosting for classification of imbalanced data. Advisor: Dr. Hsu Presenter: Hsin-Yi Huang Authors : Yanmin Sun, Mohamed S.Kamel, Andrew K.C. Wong, Yang Wang. Outline. Motivation Objective Methodology AdaBoost Cost-sensitive boosting algorithms Experiment Conclusion

469 views • 11 slides

Experimental Perspectives on Learning from Imbalanced Data

Experimental Perspectives on Learning from Imbalanced Data. Presenter : Ai-Chen Liao Authors : Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano. 2007 . ACM . Page : 935 - 942. Outline. Motivation Objective Method Experimental Result Conclusion Comments.

316 views • 11 slides

An Empirical Study of Learning from Imbalanced Data Using R andom F orest

An Empirical Study of Learning from Imbalanced Data Using R andom F orest. Presenter : Ai-Chen Liao Authors : Taghi M. Khoshgofattr, Moiz Golawala, and Jason Van Hulse. 2007 . ICTAI . Page : 310 - 317. Outline. Motivation Objective Method Experiment

277 views • 11 slides

Investigating the Effect of Sampling Methods for Imbalanced Data Distributions

Investigating the Effect of Sampling Methods for Imbalanced Data Distributions. Advisor : Dr. Hsu Presenter : Ai-Chen Liao Authors : Show-Jane Yen, Yue-Shi Lee, Cheng-Han Lin and Jia-Ching Ying. 2006 . ICSMC . Page(s) : 4163 - 4168. Outline. Motivation

271 views • 10 slides

COMP 4332, RMBI 4330 Advanced Data Mining (Spring 2012)

COMP 4332, RMBI 4330 Advanced Data Mining (Spring 2012). Qiang Yang Hong Kong University of Science and Technology qyang@cs.ust.hk http://www.cs.ust.hk. Topics. Review of Basics Practical Data Mining Imbalanced Data Streaming and Time Series Data Big Data Social Recommendation

254 views • 9 slides