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- Title
Online route prediction based on clustering of meaningful velocity-change areas.
- Authors
Terroso-Saenz, Fernando; Valdes-Vela, Mercedes; Skarmeta-Gomez, Antonio
- Abstract
Personal route prediction has emerged as an important topic within the mobility mining domain. In this context, many proposals apply an off-line learning process before being able to run the on-line prediction algorithm. The present work introduces a novel framework that integrates the route learning and the prediction algorithm in an on-line manner. By means of a thin-client and server architecture, it also puts forward a new concept for route abstraction based on the detection of spatial regions where certain velocity features of routes frequently change. The proposal is evaluated by real-world and synthetic datasets and compared with a well-established mechanism by exhibiting quite promising results.
- Subjects
DATA mining; COMPUTER science; ALGORITHMS; INTERNET servers; CONTENT mining
- Publication
Data Mining & Knowledge Discovery, 2016, Vol 30, Issue 6, p1480
- ISSN
1384-5810
- Publication type
Article
- DOI
10.1007/s10618-016-0452-3