JOURNAL ARTICLE

A Location Prediction Approach Of Moving Objects

A. PetrashenkoМ. ZamiatinA. Pazii

Year: 2017 Journal:   Problems of Informatization and Management Vol: 1 (57-58)   Publisher: National Aviation University

Abstract

Growing popularity of location based services is leading to an increasing volume of mobility data. Inthis paper we introduce a data mining approach to the problem of predicting the next location of amoving object with a certain level of accuracy. We use apriori algorithm to build a probabilisticmodel of future object location. The experiments have demonstrated that our technique givesreasonably accurate prediction

Keywords:
Popularity Computer science A priori and a posteriori Object (grammar) Volume (thermodynamics) Data mining Location data Apriori algorithm Cluster (spacecraft) Artificial intelligence Real-time computing Association rule learning

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.26
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction

Related Documents

JOURNAL ARTICLE

Location Prediction for Tracking Moving Objects

Yan Shen

Year: 2009 Pages: 362-366
BOOK-CHAPTER

Mining Frequent Trajectories of Moving Objects for Location Prediction

Mikołaj Morzy

Lecture notes in computer science Year: 2007 Pages: 667-680
BOOK-CHAPTER

Future Location Prediction of Moving Objects Based on Movement Rules

Vu Thi Hong NhanKeun Ho Ryu

Lecture notes in control and information sciences Year: 2006 Pages: 875-881
JOURNAL ARTICLE

Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects

Panagiotis TampakisNikos Pelekis

Journal:   University of Southern Denmark Research Portal (University of Southern Denmark) Year: 2024
© 2026 ScienceGate Book Chapters — All rights reserved.