Truth Discovery in Crowd Sourced Detection of Spatial Events
Abstract
Truth Discovery in Crowd sourced Detection of Spatial Events Project report on web mining The ubiquity of smartphones has led to the emergence of mobile crowdsourcing tasks such as the detection of spatial events when smartphone users move around in their daily lives. However, the credibility of those detected events can be negatively impacted by unreliable participants with low-quality data.
Consequently, a major challenge in mobile crowdsourcing is truth discovery, i.e., to discover true events from diverse and noisy participants’ reports. This problem is uniquely distinct from its online counterpart in that it involves uncertainties in both participants’ mobility and reliability.
Conclusion
In this Truth Discovery in Crowd sourced Detection of Spatial Events project report on web mining paper, we have proposed two probabilistic models to the problem of truth discovery in crowdsourced detection of spatial events. In TSE, we model location popularity, participants’ location visit indicators, truths of events, and three-way participant reliability in a unified framework. In PTSE, we further model personal location visit tendencies instead of location popularity to address the mobility issue.
| Project Name | Truth Discovery in Crowd Sourced Detection of Spatial Events |
| Project Category | Web mining and Security |
| Project Cost | 65 $/ Rs 4999 |
| Delivery Time | 48 Hour |
| For Support | WhatsApp: +91 9481545735 or Email: info@partheniumprojects.com |
Please use the link below for international payments.
