Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data
Volume: 31, Issue: 11, Pages: 2108 - 2123
Published: Nov 1, 2019
Abstract
Knowing popular indoor locations can benefit many applications like exhibition planning and location-based advertising, among others. In this work, we use uncertain historical indoor mobility data to find the top-k popular indoor semantic locations with the highest flow values. In the data we use, an object positioning report contains a set of samples, each consisting of an indoor location and a corresponding probability. The problem is...
Paper Details
Title
Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data
Published Date
Nov 1, 2019
Volume
31
Issue
11
Pages
2108 - 2123
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History