Name
Title | ||
|---|---|---|
Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper) |
Abstract | ||
|---|---|---|
Exploring massive mobile data for location-based services becomes one of the key challenges in mobile data mining. In this paper, we investigate a problem of finding a correlation between the collective behavior of mobile users and the distribution of points of interest (POIs) in a city. Specifically, we use large-scale cell tower data dumps collected from cell towers and POIs extracted from a popular social network service, Weibo. Our objective is to make use of the data from these two different types of sources to build a model for predicting the POI densities of different regions in the covered area. An application domain that may benefit from our research is a business recommendation application, where a prediction result can be used as a recommendation for opening a new store/branch. The crux of our contribution is the method of representing the collective behavior of mobile users as a histogram of connection counts over a period of time in each region. This representation ultimately enables us to apply a supervised learning algorithm to our problem in order to train a POI prediction model using the POI data set as the ground truth. We studied 12 state-of-the-art classification and regression algorithms; experimental results demonstrate the feasibility and effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s10707-015-0237-7 | Geoinformatica |
Keywords | Field | DocType |
Spatio-temporal data analysis,Classification,Regression,Cell tower data dumps,Point-of-interest prediction | Histogram,Data mining,Computer science,Artificial intelligence,Mobile broadband,Collective behavior,Tower,Supervised learning,Ground truth,Application domain,Point of interest,Machine learning,Cartography | Journal |
Volume | Issue | ISSN |
20 | 2 | 1384-6175 |
Citations | PageRank | References |
1 | 0.35 | 17 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ran Wang | 1 | 439 | 24.42 |
| Chi-Yin Chow | 2 | 2077 | 91.47 |
| Yan Lyu | 3 | 23 | 2.41 |
| Victor C. S. Lee | 4 | 601 | 55.98 |
| Sarana Nutanong | 5 | 290 | 25.55 |
| Yanhua Li | 6 | 539 | 47.45 |
| Mingxuan Yuan | 7 | 46 | 5.51 |