we build online models for the auction fraud moderation and detection system designed for a major Asian online auction website. By empirical experiments on a realword online auction fraud detection data, we show that our proposed online probit model framework, which combines online feature selection, bounding coefficients from expert knowledge and multiple instance learning, can significantlyimprove over baselines and the human-tuned model. Note that this online modeling framework can be easily extended to many other applications, such as web spam detection, content optimization and so forth....

Digital information can easily be disseminated via global networks. Due to this ease, challenges regarding digital information have created a need for more copyright laws. However, laws cannot be the only entity required to protect digital works. Digital watermarking and its technological advancements should continue to be researched and developed. The future of digital watermarking relies on setting standards and creating applications so that creators of digital content can easily implement it.

This book propose a distributed traffic management framework, in which routers are deployed with intelligent data rate controllers to tackle the traffic mass. Unlike other explicit traffic control protocols that have to estimate network parameters (e.g., link latency, bottleneck bandwidth, packet loss rate, or the number of flows) in order to compute the allowed source sending rate, our fuzzy-logic-based controller can measure the router queue size directly; hence it avoids various potential performance problems arising from parameter estimations while reducing much consumption of computation...