Mining large-scale human mobility data for long-term crime prediction

A Survey on Data Mining Techniques for Crime Hotspots Prediction

A crime is an act which is against the laws of a country or region. The technique which is used to find areas on a map which have high crime intensity is known as crime hotspot prediction. The technique uses the crime data which includes the area with crime rate and predict the future location with high crime intensity. The motivation of crime hotspot prediction is to raise people’s awareness r...

Human mobility in large cities as a proxy for crime

We investigate at the subscale of the neighborhoods of a highly populated city the incidence of property crimes in terms of both the resident and the floating population. Our results show that a relevant allometric relation could only be observed between property crimes and floating population. More precisely, the evidence of a superlinear behavior indicates that a disproportional number of pro...

M Improving Mobility Prediction Using Data Mining

With the increase in the popularity of mobile devices, WLAN infrastructure planning has become significant for maintaining desired quality of service. Movement pattern of the user plays a key role in maintaining quality of service. Mobility prediction involves predicting the mobile device’s next access point as it moves through the wireless network. In this paper, we propose a new method for fe...

Mining Large-Scale Retail Data

Understanding customer buying patterns is of great interest in the retail industry. Applications include targeted advertising, optimized product placement, and cross-promotions. Association rules, expressed as A → B (if A then B) are a common and easily understandable ways to represent buying patterns. While the problem of mining such rules has received considerable attention over the past year...

Prediction and large scale data