Distributed Context Tree Weighting (CTW) for route prediction
Abstract Route prediction play a vital role in many important location-based applications like resource prediction in grid computing, traffic congestion estimation, vehicular ad-hoc networks, travel recommendation etc. The goal of this work is to design scalable route prediction application based on...
Main Authors: | Vishnu Shankar Tiwari, Arti Arya |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-07-01
|
Series: | Open Geospatial Data, Software and Standards |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40965-018-0052-9 |
Similar Items
-
Horizontally scalable probabilistic generalized suffix tree (PGST) based route prediction using map data and GPS traces
by: Vishnu Shankar Tiwari, et al.
Published: (2017-07-01) -
Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
by: Chowdam Sreedhar, et al.
Published: (2017-09-01) -
Power-Law Distributed Graph Generation With MapReduce
by: Renzo Angles, et al.
Published: (2021-01-01) -
Evaluating MapReduce System Performance: A Simulation Approach
by: Wang, Guanying
Published: (2014) -
Fusion-based Hadoop MapReduce job for fault tolerance in distributed systems
by: Ho, Iat-Kei
Published: (2013)