PPT-Clickstream Models &

Sybil Detection Gang Wang 王刚 UC Santa Barbara gangwcsucsbedu Modeling User Clickstream Events Usergenerated events Eg profile load link follow photo browse friend invite. Linear models are easier to understand than nonlinear models and are necessary for most contro l system design methods brPage 2br Single Variable Example A general single variable nonlinear model The function can be approximated by a Taylor seri The ARMApq series is generated by 12 pt pt 12 qt 949 949 949 Thus is essentially the sum of an autoregression on past values of and a moving average o tt t white noise process Given together with starting values of the whole series Clickstream Analysis for . Sybil. D. etection. Gang Wang. , . Tristan Konolige, . Christo Wilson. †. , Xiao . Wang. ‡. . Haitao . Zheng and Ben Y. Zhao. UC Santa Barbara . †. Northeastern University . How do we make MM measures financially viable in development areas?. 2011-05-12. Session . overview. Background. business models for MM. Introduction. business models. MM measures for development areas. Session Contents. What are ‘bar models’?. How can bar models be used?. How can bar models be introduced?. What do bar models look like across key stages?. Discussion. What do bar models look like?. Gang Wang. , Xinyi Zhang, . Shiliang. Tang,. Haitao. . Zheng. and Ben Y. Zhao. UC Santa Barbara . gangw@cs.ucsb.edu. Online Services Are User-Driven. Huge user populations in today’s online services. Models for. Count Data. Doctor Visits. Basic Model for Counts of Events. E.g., Visits to site, number of purchases, number of doctor visits. Regression approach. Quantitative outcome measured. Discrete variable, model probabilities. . A . full-scale case . demonstration. U. Rehman. 1). , . W. Audenaert. 1). , C. De Mulder. 1). , Y. Amerlinck. 1. ). , M. . Arnaldos. 2). , S. R. Weijers. 3). , O. Potier. 4). , I. Nopens. 1). 1) BIOMATH, Department of Mathematical Modelling, Statistics and Bio-Informatics, Gent, Belgium.. Gang Wang. , Xinyi Zhang, . Shiliang. Tang,. Haitao. . Zheng. and Ben Y. Zhao. UC Santa Barbara . gangw@cs.ucsb.edu. Online Services Are User-Driven. Huge user populations in today’s online services. A model is… . They are different because…. Day 3 LEARNING TARGETS. EQ: . How can we use models to help us learn and solve problems?. LT: . I can . CONSTRUCT. models to show how systems work.. SC: . Julian Birkinshaw. London Business School. Types of Innovation. Management model. innovation. Business model . innovation. Product. or Service innovation. Jovan . Kalajdjieski. . Georgina . Mirceva. Slobodan . Kalajdziski. 7. th. . IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Air pollution. B. y 2050 70% of the world's population will live in urban centers, which means that we need efficient solutions for monitoring and predicting air pollution. Sybil. D. etection. Gang Wang. , . Tristan Konolige, . Christo Wilson. †. , Xiao . Wang. ‡. . Haitao . Zheng and Ben Y. Zhao. UC Santa Barbara . †. Northeastern University . ‡. Renren . Inc.. Evidence from Zambia. . Lise Jamieson. 1,2. , . Sydney Rosen. 1,3. , Bevis Phiri. 4. , Anna Grimsrud. 5. , Muya Mwansa. 6. , Hilda Shakwelele. 4. , Prudence Haimbe. 4. , Mpande M Mwenechanya. 7. , Priscilla Lumano-Mulenga.