Add to ORKGIn this paper, we present research work related to processing and analysis of big trajectory data using MapReduce framework. We describe the MapReduce-based algorithms and applications implemented on Hadoop for processing spatial join between big trajectory data and set of POI regions and appropriate aggregation of join results. The experimental evaluation and results in detecting trajectory patterns of particular users and the most popular places in the city demonstrate the feasibility of our approach. The visual analytics of MapReduce job output improve the trajectory and movement analysis
University of Minnesota Ph.D. dissertation. June 2016. Major: Computer Science. Advisor: Mohamed Mok...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Abstract. With the popularization of positioning devices such as GPS navigators and smart phones, la...
International audienceTrajectory data are prevalent in systems that monitor the locations of moving ...
International audienceTrajectory data are prevalent in systems that monitor the locations of moving ...
Frequent pattern mining is an effective approach for spatiotemporal association analysis of mobile t...
The recent advances in location tracking technologies and the widespread use of location-aware appli...
Nowadays, a vast amount of data is generated and collected every moment and often, this data has a s...
The amount of available spatial data has significantly increased in the last years so that tradition...
Trajectory data are prevalent in systems that monitor the locations of moving objects. In a location...
With the rapid development of Internet of Things (IoT) technologies, the increasing volume and diver...
This report will discuss about MapReduce and how it handles big data. In this report, Metocean (Mete...
Big data is a new trend and big data analytics is gaining more importance among the data analyzers. ...
The amount of data generated per year will reach more than 44, 000 billion gigabytes in 2020, ten ti...
AbstractWith the development of computer technology, there is a tremendous increase in the growth of...
University of Minnesota Ph.D. dissertation. June 2016. Major: Computer Science. Advisor: Mohamed Mok...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Abstract. With the popularization of positioning devices such as GPS navigators and smart phones, la...
International audienceTrajectory data are prevalent in systems that monitor the locations of moving ...
International audienceTrajectory data are prevalent in systems that monitor the locations of moving ...
Frequent pattern mining is an effective approach for spatiotemporal association analysis of mobile t...
The recent advances in location tracking technologies and the widespread use of location-aware appli...
Nowadays, a vast amount of data is generated and collected every moment and often, this data has a s...
The amount of available spatial data has significantly increased in the last years so that tradition...
Trajectory data are prevalent in systems that monitor the locations of moving objects. In a location...
With the rapid development of Internet of Things (IoT) technologies, the increasing volume and diver...
This report will discuss about MapReduce and how it handles big data. In this report, Metocean (Mete...
Big data is a new trend and big data analytics is gaining more importance among the data analyzers. ...
The amount of data generated per year will reach more than 44, 000 billion gigabytes in 2020, ten ti...
AbstractWith the development of computer technology, there is a tremendous increase in the growth of...
University of Minnesota Ph.D. dissertation. June 2016. Major: Computer Science. Advisor: Mohamed Mok...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Abstract. With the popularization of positioning devices such as GPS navigators and smart phones, la...