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Knowledge management has become increasingly critical for the success of companies in this emerging era of e-commerce. As commercial activities tend to conduct on the Internet, the challenge facing corporate management is maintaining competitive edge by building strong relationship with employees, customers and suppliers. A good knowledge management(More)
Characterizing information diffusion on social platforms like Twitter enables us to understand the properties of underlying media and model communication patterns. As Twitter gains in popularity, it has also become a venue to broadcast rumors and misinformation. We use epidemiological models to characterize information cascades in twitter resulting from(More)
User modeling, often addressed as user profile and a simple way of capturing his/her preferences, plays key roles in marketing and personalized services in E-commerce. Due to its powerful knowledge representation and inference mechanism, ontology-based user modeling is emerging as a natural choice to represent knowledge about users in E-commerce context.(More)
Financial markets are quite sensitive to unanticipated news and events. Identifying the effect of news on the market is a challenging task. In this demo, we present Forex-foreteller (FF) which mines news articles and makes forecasts about the movement of foreign currency markets. The system uses a combination of language models, topic clustering, and(More)
Modeling the movement of information within social media outlets, like Twitter, is key to understanding to how ideas spread but quantifying such movement runs into several difficulties. Two specific areas that elude a clear characterization are (i) the intrinsic random nature of individuals to potentially adopt and subsequently broadcast a Twitter topic,(More)
  • Fang Jin
  • 2010
This paper investigates the stabilization problem for networked control systems, where sensors, controllers and plants are connected by a digital communication network. A sufficient condition for stabilization of linear time-invariant systems is derived. An upper bound on the maximum allowable transfer interval, below which there exists a feedback control(More)
Clinical outcome prognostication in oncology is a guiding principle in therapeutic choice. A wealth of qualitative empirical evidence links disease progression with tumor morphology, histopathology, invasion, and associated molecular phenomena. However, the quantitative contribution of each of the known parameters in this progression remains elusive.(More)